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 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

We seek novel, innovative, and exciting work in areas including but not limited to:

Medical methodologies, architectures, environments and systems:

• Generative AI
• 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 / Cognitive 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:

• Public Health Intelligent Systems
• Prescriptive Solutions
• 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

SPECIAL ISSUES
Special issue for selected and extended versions of papers accepted in the track.
Authors of selected 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
• Manuel Fernandez Delgado, University of Santiago, SP
• Tiago André Guimarães, University of Minho, PT