Author: Carlos Filipe da Silva Portela

[rede.APPIA] [Call for Papers] AI4IS@EPIA 2022 – Artificial Intelligence for Industry and Societies

Carlos Filipe da Silva Portela
(apologies for cross-posting)
###################################################################################### CFP: Artificial Intelligence for Industry and Society (AI4IS@EPIA-2022) Thematic track of the 21st Portuguese Conference on Artificial Intelligence (EPIA 2022) August 31-September 2, 2022, Lisbon, Portugal. Webpage: epia2022.inesc-id.pt/ ######################################################################################
IMPORTANT DATES Paper submission: April 15, 2022 Notification of paper acceptance: May 31, 2022 Camera-ready papers deadline: June 15, 2022 Conference dates: August 31-September 2, 2022
IMPORTANT NEWS – LNCS/LNAI Proceedings (springer) – Special issue at the MDPI Future Internet Journal (Q2) with selected papers*
INTRODUCTION Societies and industries are facing many challenges to be even more intelligent and sustainable. In this context, many good practices and approaches are being explored, and several new contributions are daily produced. In this context, many good practices and approaches are being investigated, and several unique contributions are daily proposed without being disseminated. So, the track “Artificial Intelligence for Industry and Societies” wants to overcome this gap. A smart society looks to citizens problems and tries to maximise the use of innovative technologies and collaboration across multiple sectors to create more efficient, intelligent, and adaptable services. In this context emerges the concept of smart cities that coalesce smart infrastructures with human needs through community services. Connected and efficient cities and communities can lead to informed, engaged, and contented citizens. However, to have a smart society is also required to have intelligent industries. Industry 4.0 consists of the digital transformation of manufacturing/production, related sectors, and value creation processes. It represents a new stage in the organisation and control of the industrial value chain where Artificial Intelligence has a vital role through the automation of processes, prediction and reduction of errors and failures. The evolution of Industry and Societies must be holding hands requiring a multi-disciplinary endeavour, where technology and Artificial Intelligence are in this area as a bonding element for each of the services it sustains. This track intends to link researchers and professionals able to explore new solutions applied to society and Industry. It will further explore and present paradigms, solutions, or best practices to be implemented in the real world. It represents a new era of disseminating knowledge by showing how scientific knowledge can be transferred to society and applied in the industry using Data Science and Artificial Intelligence approaches. IA4IS is open to several contributions in both areas like cognitive computing platforms and applications, including technologies and infrastructures related to Artificial Intelligence, machine learning, as well as big data processing and data analytics.
TOPICS OF INTEREST Innovative and exciting works are welcome in areas including but not limited to: Business, Industry and Smart Factory • Advanced data visualisation and data management techniques and solutions. • Advanced interactive technologies, including augmented/virtual reality. • Advanced mechanical engineering technologies with Machine Learning. • Artificial intellect. • Augmented reality with artificial Intelligence • Authentication, data security and protection. • Automation and intelligent robotics. • Cyber-physical systems (CPS) with Artificial Intelligence (AI). • Internet of Things modules, platforms and applications applied to Industry. • Mobile and wearable devices with AI modules. • Smart factory, production technologies and systems • Smart sensors.
Sustainable and Smart Cities and Societies • Big data, open data, and analytical tools • Bring Your Own Device (BYOD) solutions • Disaster management • Internet of Things (IoT) for smart cities. • Responsible innovation • Smart buildings. • Smart economy. • Smart energy. • Smart governance. • Smart grids infrastructures. • Smart Living, Wellbeing, and healthcare • Smart people. • Smart sensing. • Smart Transportations and urban mobility. • Technological infrastructure for smart cities support: • Web/mobile solutions with AI
PAPER SUBMISSION All papers should be submitted in PDF format through the EPIA’2022 submission Website. Submissions must be original and can be of two types: regular (full-length) papers should not exceed twelve (12) pages in length, whereas short papers should not exceed six (6) pages. Each submission will be peer-reviewed by at least three members of the Program Committee. The reviewing process is double-blind. The best-accepted papers will appear in the proceedings published by Springer in the LNAI series (previous EPIA proceedings were indexed by the Thomson ISI Web of Knowledge, Scopus, DBLP and ACM digital library). The remaining accepted papers will be published in the local proceedings with ISBN.
*Authors of the best papers presented at the AI4IS track of EPIA will be invited to submit extended versions of their manuscripts for a Special Issue in the Journal of Future Internet (MDPI)
ORGANISING COMMITTEE Filipe Portela (cfp@dsi.uminho.pt) Teresa Guarda Valentina Lenarduzzi Beatriz de la Iglesia
— Esta mensagem foi enviada para a rede APPIA, que engloba os associados da APPIA. Se desejar deixar de receber este tipo de mensagens, p.f. envie um email para appia [at] appia [ponto] pt

[rede.APPIA] [Call for Papers] AIM@EPIA 2022 – Artificial Intelligence in Medicine

Carlos Filipe da Silva Portela
(apologies for cross-posting)
====================================================================== CFP: Artificial Intelligence in Medicine (AIM@EPIA-2022) Thematic track of the 21st Portuguese Conference on Artificial Intelligence (EPIA 2022) August 31-September 2, 2022, Lisbon, Portugal. Webpage: epia2022.inesc-id.pt/ ======================================================================
IMPORTANT DATES Paper submission: April 15, 2022 Notification of paper acceptance: May 31, 2022 Camera-ready papers deadline: June 15, 2022 Conference dates: August 31-September 2, 2022
IMPORTANT NEWS – LNCS/LNAI Proceedings (springer) – Special issue at the Journal of Medical Systems with selected papers*
INTRODUCTION Everyday medicine is facing new challenges: new diseases, cost reductions, new therapeutics, rapid and accurate decisions, new techniques and technologies. Artificial Intelligence (AI) is playing an important role in the decision making process, in the way the data of the patients are collected, treated, processed, anticipating and avoiding critical situations, as well to test and simulate new treatments and devices. The big question to be answered is: How Artificial Intelligence can help to overcome these challenges and improve the efficiency of medicine? Data Science, Sensing, Pervasiveness, Ubiquity and Intelligent Agents in Medicine, can contribute with new artifacts and new knowledge for health professionals. AI aims to improve the usability of programs for assisting physicians in figuring out what is wrong with the patients and provide new solutions to help making better decisions. AI systems are intended to support healthcare practitioners in the normal course of their duties, assisting with tasks that rely on the manipulation of data and knowledge. In particular, these systems have for example the capacity to learn, leading to the discovery of new phenomena and the creation of medical knowledge improving human health and longevity. This track promotes a forum to discuss and present emergent topics, new projects and ideas about how AI can contribute to the field of Medicine and, improve patient conditions. By bringing together researchers from two distinct areas is expected to produce new scientific and technical knowledge in a particular area as is medicine. Special attention will be given to the social impact/gain of the AI contributions in medicine.
TOPICS OF INTEREST Innovative and exciting works are welcome in areas including but not limited to:
Medical methodologies, architectures, environments and systems. • Agents for information retrieval; • AI in Medical Education and Clinical Management; • Wellbeing and lifestyle support; • Interoperability, Security, Pervasiveness, Ubiquity and Cloud Computing in Medicine; • Methodological, philosophical, ethical, and social issues of AI in Medicine; • Pervasive Healthcare Environments; • Software architectures. Knowledge Engineering and Decision Support Systems: • AI-based clinical decision making and Clinical Decision Support Systems; • Automated reasoning, Case-Based Reasoning or Reasoning with medical knowledge; • Business Intelligence in Health Care; • Clinical Data Mining; • Data Streaming; • Diagnostic assistance; • Expert, agent-based or knowledge-based systems; • Medical knowledge engineering; • Intelligent Decision Support Systems in Medicine. Medical Applications and Devices • Computational intelligence in bio- and clinical medicine; • Electronic Health Records (eHealth); • Image recognition and interpretation; • Intelligent devices and instruments; • Sensor-based applications; • Telemedicine and mHealth solutions; • mIOT; • Ubiquitous devices in the storage, update, and transmission of patient data; • Usability and acceptability. AI in Healthcare Information Systems • COVID-19 data solutions; • Public Health Intelligent Systems • Autonomous systems to support independent living; • Healthcare System Based on Cloud Computing; • Intelligent Healthcare information systems; • Pervasive Information Systems; • Pervasiveness and Security in Clinical Systems; • Smart homes, hospitals and Intelligent Systems; • Simulation Computer systems.
PAPER SUBMISSION All papers should be submitted in PDF format through the EPIA’2022 submission Website. Submissions must be original and can be of two types: regular (full-length) papers should not exceed twelve (12) pages in length, whereas short papers should not exceed six (6) pages. Each submission will be peer-reviewed by at least three members of the Program Committee. The reviewing process is double-blind. The best-accepted papers will appear in the proceedings published by Springer in the LNAI series (previous EPIA proceedings were indexed by the Thomson ISI Web of Knowledge, Scopus, DBLP and ACM digital library). The remaining accepted papers will be published in the local proceedings with ISBN.
*Authors of the best papers presented at the AIM track of EPIA will be invited to submit extended versions of their manuscripts for a Special Issue in Journal of Medical Systems (Springer) or in Journal of AI in Medicine (Elsevier)
ORGANIZING COMMITTEE * Manuel Filipe Santos, University of Minho, PT (contact person) mfs@dsi.uminho.pt * Carlos Filipe Portela, University of Minho, PT cfp@dsi.uminho.pt * Allan Tucker, Brunel University London, UK, allan.tucker@brunel.ac.uk * Manuel Fernandez Delgado, SP, manuel.fernandez.delgado@usc.es
— Esta mensagem foi enviada para a rede APPIA, que engloba os associados da APPIA. Se desejar deixar de receber este tipo de mensagens, p.f. envie um email para appia [at] appia [ponto] pt

[rede.APPIA] CFP: Artificial Intelligence in Medicine (AIM@EPIA-2021)

Carlos Filipe da Silva Portela

(Apologies for cross-posting)
====================================================================== *CFP: Artificial Intelligence in Medicine (AIM@EPIA-2021)* Thematic track of the 20th Portuguese Conference on Artificial Intelligence (EPIA 2021) 7-9 September 2021, Online Webpage:https://epia2019.utad.pt/index.php/83-thematic-tracks/99-aim ====================================================================== *IMPORTANT DATES* – Full Paper Submission:_April 30, 2021_ – Notification of Acceptance: May 31, 2021 – Camera ready Papers: June 15, 2021 – Conference Date: September 7-9, 2021
*IMPORTANT NEWS* – LNCS/LNAI Proceedings (Springer) – Special issue of the journal Medical Systems with selected papers*
*INTRODUCTION* Every day medicine is facing new challenges: new diseases, cost reductions, new therapeutics, rapid and accurate decisions, new techniques and technologies. Artificial Intelligence (AI) is playing an important role in the decision making process, in the way the data of the patients are collected, treated, processed, anticipating and avoiding critical situations, as well to test and simulate new treatments and devices. The big question to be answered is: How Artificial Intelligence can help to overcome these challenges and improve the efficiency of medicine? Data Science, Sensing, Pervasiveness, Ubiquity and Intelligent Agents in Medicine, can contribute with new artefacts and new knowledge for health professionals. AI aims to improve the usability of programs for assisting physicians in figuring out what is wrong with the patients and provide new solutions to help making better decisions. AI systems are intended to support healthcare practitioners in the normal course of their duties, assisting with tasks that rely on the manipulation of data and knowledge. In particular, these systems have for example the capacity to learn, leading to the discovery of new phenomena and the creation of medical knowledge improving human health and longevity. This track promotes a forum to discuss and present emergent topics, new projects and ideas about how AI can contribute to the field of Medicine and, improve patient conditions. By bringing together researchers from two distinct areas is expected to produce new scientific and technical knowledge in a particular area as is medicine. Special attention will be given to the social impact/gain of the AI contributions in medicine.
*TOPICS OF INTEREST* Innovative and exciting works are welcome in areas including but not limited to:
Medical methodologies, architectures, environments, and systems. • Agents for information retrieval; • AI in Medical Education and Clinical Management; • Wellbeing and lifestyle support; • Interoperability, Security, Pervasiveness, Ubiquity and Cloud Computing in Medicine; • Methodological, philosophical, ethical, and social issues of AI in Medicine; • Pervasive Healthcare Environments; • Software architectures. Knowledge engineering and Decision Support Systems: • AI-based clinical decision making and Clinical Decision Support Systems; • Automated reasoning, Case-Based Reasoning or Reasoning with medical knowledge; • Business Intelligence in Health Care; • Clinical Data Mining; • Data Streaming; • Diagnostic assistance; • Expert, agent-based or knowledge-based systems; • Medical knowledge engineering; • Pervasive or Real-Time Intelligent Decision Support Systems in Critical Health Care. Medical Applications and Devices • Computational intelligence in bio- and clinical medicine; • Electronic Health Records (eHealth); • Image recognition and interpretation; • Intelligent devices and instruments; • Sensor-based applications; • Telemedicine and mHealth solutions; • Ubiquitous devices in the storage, update, and transmission of patient data; • Usability and acceptability. AI in Healthcare Information Systems • Autonomous systems to support independent living; • Healthcare System Based on Cloud Computing; • Intelligent Healthcare information systems; • Pervasive Information Systems; • Pervasiveness and Security in Clinical Systems; • Smart homes, hospitals and Intelligent Systems; • Simulation Computer systems.   *PAPER SUBMISSION* Submissions must be full technical papers on substantial, original, and previously unpublished research. Papers can have a maximum length of 12 pages. All papers should be prepared according to the formatting instructions of Springer LNCS series (Springer Lecture Notes in Computer Science). Authors should omit their names from the submitted papers, and should take reasonable care to avoid indirectly disclosing their identity. All papers should be submitted in PDF format through the EPIA2021 submission Website (www.easychair.org/my/conference?conf=epia2021#) selecting the track Artificial Intelligence in Medicine (AIM). All accepted papers will be published by Springer in a volume of the LNAI Lecture Notes in Artificial Intelligence series (indexed by the Thomson ISI Web of Knowledge). *Authors of the best papers presented at the AIM track of EPIA will be invited to submit extended versions of their manuscripts for a Special Issue in Journal of Medical Systems (Springer)
*ORGANIZING COMMITTEE* * Manuel Filipe Santos, University of Minho, Portugal (contact person)mfs@dsi.uminho.pt * Carlos Filipe Portela, University of Minho, Portugalcfp@dsi.uminho.pt * Allan Tucker, Brunel University London, Uk * Manuel Fernandez Delgado, University of Santiago de Compostela, Spain

[rede.APPIA] CFP: Artificial Intelligence in Medicine (AIM@EPIA-2021)

Carlos Filipe da Silva Portela
(Apologies for cross-posting) 

======================================================================  CFP: Artificial Intelligence in Medicine (AIM@EPIA-2021)  Thematic track of the 20th Portuguese Conference on Artificial Intelligence (EPIA 2021)  7-9 September 2021, Online  Webpage: https://epia2019.utad.pt/index.php/83-thematic-tracks/99-aim  ======================================================================    IMPORTANT DATES  - Full Paper Submission: April 15, 2021  - Notification of Acceptance: May 31, 2021  - Camera ready Papers: June 15, 2021  - Conference Date: September 7-9, 2021    IMPORTANT NEWS  - LNCS/LNAI Proceedings (Springer)  - Special issue of the journal Medical Systems with selected papers*     INTRODUCTION  Every day medicine is facing new challenges: new diseases, cost reductions, new therapeutics, rapid and accurate decisions, new techniques and technologies.   Artificial Intelligence (AI) is playing an important role in the decision making process, in the way the data of the patients are collected, treated, processed, anticipating and avoiding critical situations, as well to test and simulate new treatments and devices.   The big question to be answered is: How Artificial Intelligence can help to overcome these challenges and improve the efficiency of medicine?   Data Science, Sensing, Pervasiveness, Ubiquity and Intelligent Agents in Medicine, can contribute with new artefacts and new knowledge for health professionals.   AI aims to improve the usability of programs for assisting physicians in figuring out what is wrong with the patients and provide new solutions to help making better decisions.   AI systems are intended to support healthcare practitioners in the normal course of their duties, assisting with tasks that rely on the manipulation of data and knowledge.   In particular, these systems have for example the capacity to learn, leading to the discovery of new phenomena and the creation of medical knowledge improving human health and longevity.  This track promotes a forum to discuss and present emergent topics, new projects and ideas about how AI can contribute to the field of Medicine and, improve patient conditions.   By bringing together researchers from two distinct areas is expected to produce new scientific and technical knowledge in a particular area as is medicine.   Special attention will be given to the social impact/gain of the AI contributions in medicine.     TOPICS OF INTEREST  Innovative and exciting works are welcome in areas including but not limited to:    Medical methodologies, architectures, environments, and systems.  •	Agents for information retrieval;  •	AI in Medical Education and Clinical Management;  •	Wellbeing and lifestyle support;  •	Interoperability, Security, Pervasiveness, Ubiquity and Cloud Computing in Medicine;  •	Methodological, philosophical, ethical, and social issues of AI in Medicine;  •	Pervasive Healthcare Environments;  •	Software architectures.  Knowledge engineering and Decision Support Systems:  •	AI-based clinical decision making and Clinical Decision Support Systems;  •	Automated reasoning, Case-Based Reasoning or Reasoning with medical knowledge;  •	Business Intelligence in Health Care;  •	Clinical Data Mining;  •	Data Streaming;  •	Diagnostic assistance;  •	Expert, agent-based or knowledge-based systems;  •	Medical knowledge engineering;  •	Pervasive or Real-Time Intelligent Decision Support Systems in Critical Health Care.  Medical Applications and Devices  •	Computational intelligence in bio- and clinical medicine;  •	Electronic Health Records (eHealth);  •	Image recognition and interpretation;  •	Intelligent devices and instruments;  •	Sensor-based applications;  •	Telemedicine and mHealth solutions;  •	Ubiquitous devices in the storage, update, and transmission of patient data;  •	Usability and acceptability.  AI in Healthcare Information Systems  •	Autonomous systems to support independent living;  •	Healthcare System Based on Cloud Computing;  •	Intelligent Healthcare information systems;  •	Pervasive Information Systems;  •	Pervasiveness and Security in Clinical Systems;  •	Smart homes, hospitals and Intelligent Systems;  •	Simulation Computer systems.     PAPER SUBMISSION  Submissions must be full technical papers on substantial, original, and previously unpublished research. Papers can have a maximum length of 12 pages.   All papers should be prepared according to the formatting instructions of Springer LNCS series (Springer Lecture Notes in Computer Science).   Authors should omit their names from the submitted papers, and should take reasonable care to avoid indirectly disclosing their identity.  All papers should be submitted in PDF format through the EPIA2021 submission Website (https://www.easychair.org/my/conference?conf=epia2021#) selecting the track Artificial Intelligence in Medicine (AIM).  All accepted papers will be published by Springer in a volume of the LNAI Lecture Notes in Artificial Intelligence series (indexed by the Thomson ISI Web of Knowledge).  *Authors of the best papers presented at the AIM track of EPIA will be invited to submit extended versions of their manuscripts for a Special Issue in Journal of Medical Systems (Springer)    ORGANIZING COMMITTEE  * Manuel Filipe Santos, University of Minho, Portugal (contact person) mfs@dsi.uminho.pt  * Carlos Filipe Portela, University of Minho, Portugal cfp@dsi.uminho.pt  * Allan Tucker, Brunel University London, Uk  * Manuel Fernandez Delgado, University of Santiago de Compostela, Spain

[rede.APPIA] CFP: Artificial Intelligence in Medicine (AIM@EPIA-2020)

Carlos Filipe da Silva Portela
(Apologies for cross-posting) 

======================================================================  CFP: Artificial Intelligence in Medicine (AIM@EPIA-2020)  Thematic track of the 20th Portuguese Conference on Artificial Intelligence (EPIA 2020)  7-9 September 2020, Lisboa, Portugal  Webpage: https://epia2020.inesc-id.pt/  ======================================================================    IMPORTANT DATES  - Full Paper Submission: April 15, 2020  - Notification of Acceptance: May 31, 2020  - Camera ready Papers: June 15, 2020  - Conference Date: September 7-9, 2020    IMPORTANT NEWS  - LNCS/LNAI Proceedings (Springer)  - Special issue of the journal Medical Systems with selected papers*     INTRODUCTION  Every day medicine is facing new challenges: new diseases, cost reductions, new therapeutics, rapid and accurate decisions, new techniques and technologies.   Artificial Intelligence (AI) is playing an important role in the decision making process, in the way the data of the patients are collected, treated, processed, anticipating and avoiding critical situations, as well to test and simulate new treatments and devices.   The big question to be answered is: How Artificial Intelligence can help to overcome these challenges and improve the efficiency of medicine?   Data Science, Sensing, Pervasiveness, Ubiquity and Intelligent Agents in Medicine, can contribute with new artefacts and new knowledge for health professionals.   AI aims to improve the usability of programs for assisting physicians in figuring out what is wrong with the patients and provide new solutions to help making better decisions.   AI systems are intended to support healthcare practitioners in the normal course of their duties, assisting with tasks that rely on the manipulation of data and knowledge.   In particular, these systems have for example the capacity to learn, leading to the discovery of new phenomena and the creation of medical knowledge improving human health and longevity.  This track promotes a forum to discuss and present emergent topics, new projects and ideas about how AI can contribute to the field of Medicine and, improve patient conditions.   By bringing together researchers from two distinct areas is expected to produce new scientific and technical knowledge in a particular area as is medicine.   Special attention will be given to the social impact/gain of the AI contributions in medicine.     TOPICS OF INTEREST  Innovative and exciting works are welcome in areas including but not limited to:    Medical methodologies, architectures, environments, and systems.  •	Agents for information retrieval;  •	AI in Medical Education and Clinical Management;  •	Wellbeing and lifestyle support;  •	Interoperability, Security, Pervasiveness, Ubiquity and Cloud Computing in Medicine;  •	Methodological, philosophical, ethical, and social issues of AI in Medicine;  •	Pervasive Healthcare Environments;  •	Software architectures.  Knowledge engineering and Decision Support Systems:  •	AI-based clinical decision making and Clinical Decision Support Systems;  •	Automated reasoning, Case-Based Reasoning or Reasoning with medical knowledge;  •	Business Intelligence in Health Care;  •	Clinical Data Mining;  •	Data Streaming;  •	Diagnostic assistance;  •	Expert, agent-based or knowledge-based systems;  •	Medical knowledge engineering;  •	Pervasive or Real-Time Intelligent Decision Support Systems in Critical Health Care.  Medical Applications and Devices  •	Computational intelligence in bio- and clinical medicine;  •	Electronic Health Records (eHealth);  •	Image recognition and interpretation;  •	Intelligent devices and instruments;  •	Sensor-based applications;  •	Telemedicine and mHealth solutions;  •	Ubiquitous devices in the storage, update, and transmission of patient data;  •	Usability and acceptability.  AI in Healthcare Information Systems  •	Autonomous systems to support independent living;  •	Healthcare System Based on Cloud Computing;  •	Intelligent Healthcare information systems;  •	Pervasive Information Systems;  •	Pervasiveness and Security in Clinical Systems;  •	Smart homes, hospitals and Intelligent Systems;  •	Simulation Computer systems.     PAPER SUBMISSION  Submissions must be full technical papers on substantial, original, and previously unpublished research. Papers can have a maximum length of 12 pages.   All papers should be prepared according to the formatting instructions of Springer LNCS series (Springer Lecture Notes in Computer Science).   Authors should omit their names from the submitted papers, and should take reasonable care to avoid indirectly disclosing their identity.  All papers should be submitted in PDF format through the EPIA2019 submission Website (https://easychair.org/conferences/?conf=epia2020) selecting the track Artificial Intelligence in Medicine (AIM).  All accepted papers will be published by Springer in a volume of the LNAI Lecture Notes in Artificial Intelligence series (indexed by the Thomson ISI Web of Knowledge).  *Authors of the best papers presented at the AIM track of EPIA will be invited to submit extended versions of their manuscripts for a Special Issue in Journal of Medical Systems (Springer)    ORGANIZING COMMITTEE  * Manuel Filipe Santos, University of Minho, Portugal (contact person) mfs@dsi.uminho.pt  * Carlos Filipe Portela, University of Minho, Portugal cfp@dsi.uminho.pt  * Allan Tucker, Brunel University London, Uk, allan.tucker@brunel.ac.uk

[rede.APPIA] CFP: Artificial Intelligence in Medicine (AIM@EPIA-2019) – EXTENDED DEADLINE (April 30, 2019)

Carlos Filipe da Silva Portela
(Apologies for cross-posting) 

======================================================================  CFP: Artificial Intelligence in Medicine (AIM@EPIA-2019)  Thematic track of the 19th Portuguese Conference on Artificial Intelligence (EPIA 2019)  3-6 September 2019, Vila Real, Portugal  Webpage: https://epia2019.utad.pt/index.php/83-thematic-tracks/99-aim  ======================================================================    IMPORTANT DATES  - Extended Full Paper Submission: April 30, 2019  - Notification of Acceptance: May 31, 2019  - Camera ready Papers: June 15, 2019  - Conference Date: September 3-6, 2019    IMPORTANT NEWS  - LNCS/LNAI Proceedings (Springer)  - Special issue of the journal Medical Systems with selected papers*     INTRODUCTION  Every day medicine is facing new challenges: new diseases, cost reductions, new therapeutics, rapid and accurate decisions, new techniques and technologies.   Artificial Intelligence (AI) is playing an important role in the decision making process, in the way the data of the patients are collected, treated, processed, anticipating and avoiding critical situations, as well to test and simulate new treatments and devices.   The big question to be answered is: How Artificial Intelligence can help to overcome these challenges and improve the efficiency of medicine?   Data Science, Sensing, Pervasiveness, Ubiquity and Intelligent Agents in Medicine, can contribute with new artefacts and new knowledge for health professionals.   AI aims to improve the usability of programs for assisting physicians in figuring out what is wrong with the patients and provide new solutions to help making better decisions.   AI systems are intended to support healthcare practitioners in the normal course of their duties, assisting with tasks that rely on the manipulation of data and knowledge.   In particular, these systems have for example the capacity to learn, leading to the discovery of new phenomena and the creation of medical knowledge improving human health and longevity.  This track promotes a forum to discuss and present emergent topics, new projects and ideas about how AI can contribute to the field of Medicine and, improve patient conditions.   By bringing together researchers from two distinct areas is expected to produce new scientific and technical knowledge in a particular area as is medicine.   Special attention will be given to the social impact/gain of the AI contributions in medicine.     TOPICS OF INTEREST  Innovative and exciting works are welcome in areas including but not limited to:    Medical methodologies, architectures, environments, and systems.  •	Agents for information retrieval;  •	AI in Medical Education and Clinical Management;  •	Wellbeing and lifestyle support;  •	Interoperability, Security, Pervasiveness, Ubiquity and Cloud Computing in Medicine;  •	Methodological, philosophical, ethical, and social issues of AI in Medicine;  •	Pervasive Healthcare Environments;  •	Software architectures.  Knowledge engineering and Decision Support Systems:  •	AI-based clinical decision making and Clinical Decision Support Systems;  •	Automated reasoning, Case-Based Reasoning or Reasoning with medical knowledge;  •	Business Intelligence in Health Care;  •	Clinical Data Mining;  •	Data Streaming;  •	Diagnostic assistance;  •	Expert, agent-based or knowledge-based systems;  •	Medical knowledge engineering;  •	Pervasive or Real-Time Intelligent Decision Support Systems in Critical Health Care.  Medical Applications and Devices  •	Computational intelligence in bio- and clinical medicine;  •	Electronic Health Records (eHealth);  •	Image recognition and interpretation;  •	Intelligent devices and instruments;  •	Sensor-based applications;  •	Telemedicine and mHealth solutions;  •	Ubiquitous devices in the storage, update, and transmission of patient data;  •	Usability and acceptability.  AI in Healthcare Information Systems  •	Autonomous systems to support independent living;  •	Healthcare System Based on Cloud Computing;  •	Intelligent Healthcare information systems;  •	Pervasive Information Systems;  •	Pervasiveness and Security in Clinical Systems;  •	Smart homes, hospitals and Intelligent Systems;  •	Simulation Computer systems.     PAPER SUBMISSION  Submissions must be full technical papers on substantial, original, and previously unpublished research. Papers can have a maximum length of 12 pages.   All papers should be prepared according to the formatting instructions of Springer LNCS series (Springer Lecture Notes in Computer Science).   Authors should omit their names from the submitted papers, and should take reasonable care to avoid indirectly disclosing their identity.  All papers should be submitted in PDF format through the EPIA2019 submission Website (https://easychair.org/conferences/?conf=epia2019) selecting the track Artificial Intelligence in Medicine (AIM).  All accepted papers will be published by Springer in a volume of the LNAI Lecture Notes in Artificial Intelligence series (indexed by the Thomson ISI Web of Knowledge).  *Authors of the best papers presented at the AIM track of EPIA will be invited to submit extended versions of their manuscripts for a Special Issue in Journal of Medical Systems (Springer)    ORGANIZING COMMITTEE  * Manuel Filipe Santos, University of Minho, Portugal (contact person) mfs@dsi.uminho.pt  * Carlos Filipe Portela, University of Minho, Portugal cfp@dsi.uminho.pt  * Allan Tucker, Brunel University London, Uk, allan.tucker@brunel.ac.uk

[rede.APPIA] CFP: Artificial Intelligence in Medicine (AIM@EPIA-2019)

Carlos Filipe da Silva Portela
(Apologies for cross-posting) 

======================================================================  CFP: Artificial Intelligence in Medicine (AIM@EPIA-2019)  Thematic track of the 19th Portuguese Conference on Artificial Intelligence (EPIA 2019)  3-6 September 2019, Vila Real, Portugal  Webpage: https://epia2019.utad.pt/index.php/83-thematic-tracks/99-aim  ======================================================================    IMPORTANT DATES  - Full Paper Submission: April 15, 2019  - Notification of Acceptance: May 31, 2019  - Camera ready Papers: June 15, 2019  - Conference Date: September 3-6, 2019    IMPORTANT NEWS  - LNCS/LNAI Proceedings (Springer)  - Special issue of the journal Medical Systems with selected papers*     INTRODUCTION  Every day medicine is facing new challenges: new diseases, cost reductions, new therapeutics, rapid and accurate decisions, new techniques and technologies.   Artificial Intelligence (AI) is playing an important role in the decision making process, in the way the data of the patients are collected, treated, processed, anticipating and avoiding critical situations, as well to test and simulate new treatments and devices.   The big question to be answered is: How Artificial Intelligence can help to overcome these challenges and improve the efficiency of medicine?   Data Science, Sensing, Pervasiveness, Ubiquity and Intelligent Agents in Medicine, can contribute with new artefacts and new knowledge for health professionals.   AI aims to improve the usability of programs for assisting physicians in figuring out what is wrong with the patients and provide new solutions to help making better decisions.   AI systems are intended to support healthcare practitioners in the normal course of their duties, assisting with tasks that rely on the manipulation of data and knowledge.   In particular, these systems have for example the capacity to learn, leading to the discovery of new phenomena and the creation of medical knowledge improving human health and longevity.  This track promotes a forum to discuss and present emergent topics, new projects and ideas about how AI can contribute to the field of Medicine and, improve patient conditions.   By bringing together researchers from two distinct areas is expected to produce new scientific and technical knowledge in a particular area as is medicine.   Special attention will be given to the social impact/gain of the AI contributions in medicine.     TOPICS OF INTEREST  Innovative and exciting works are welcome in areas including but not limited to:    Medical methodologies, architectures, environments, and systems.  •	Agents for information retrieval;  •	AI in Medical Education and Clinical Management;  •	Wellbeing and lifestyle support;  •	Interoperability, Security, Pervasiveness, Ubiquity and Cloud Computing in Medicine;  •	Methodological, philosophical, ethical, and social issues of AI in Medicine;  •	Pervasive Healthcare Environments;  •	Software architectures.  Knowledge engineering and Decision Support Systems:  •	AI-based clinical decision making and Clinical Decision Support Systems;  •	Automated reasoning, Case-Based Reasoning or Reasoning with medical knowledge;  •	Business Intelligence in Health Care;  •	Clinical Data Mining;  •	Data Streaming;  •	Diagnostic assistance;  •	Expert, agent-based or knowledge-based systems;  •	Medical knowledge engineering;  •	Pervasive or Real-Time Intelligent Decision Support Systems in Critical Health Care.  Medical Applications and Devices  •	Computational intelligence in bio- and clinical medicine;  •	Electronic Health Records (eHealth);  •	Image recognition and interpretation;  •	Intelligent devices and instruments;  •	Sensor-based applications;  •	Telemedicine and mHealth solutions;  •	Ubiquitous devices in the storage, update, and transmission of patient data;  •	Usability and acceptability.  AI in Healthcare Information Systems  •	Autonomous systems to support independent living;  •	Healthcare System Based on Cloud Computing;  •	Intelligent Healthcare information systems;  •	Pervasive Information Systems;  •	Pervasiveness and Security in Clinical Systems;  •	Smart homes, hospitals and Intelligent Systems;  •	Simulation Computer systems.     PAPER SUBMISSION  Submissions must be full technical papers on substantial, original, and previously unpublished research. Papers can have a maximum length of 12 pages.   All papers should be prepared according to the formatting instructions of Springer LNCS series (Springer Lecture Notes in Computer Science).   Authors should omit their names from the submitted papers, and should take reasonable care to avoid indirectly disclosing their identity.  All papers should be submitted in PDF format through the EPIA2019 submission Website (https://easychair.org/conferences/?conf=epia2019) selecting the track Artificial Intelligence in Medicine (AIM).  All accepted papers will be published by Springer in a volume of the LNAI Lecture Notes in Artificial Intelligence series (indexed by the Thomson ISI Web of Knowledge).  *Authors of the best papers presented at the AIM track of EPIA will be invited to submit extended versions of their manuscripts for a Special Issue in Journal of Medical Systems (Springer)    ORGANIZING COMMITTEE  * Manuel Filipe Santos, University of Minho, Portugal (contact person) mfs@dsi.uminho.pt  * Carlos Filipe Portela, University of Minho, Portugal cfp@dsi.uminho.pt  * Allan Tucker, Brunel University London, Uk, allan.tucker@brunel.ac.uk