ABSTRACT
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.Â
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.Â
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.
Being EPIA the most relevant meeting in the Artificial Intelligence field organized in Portugal, it is fundamental to discuss a central theme as is the application of AI in medicine. Because questions associated to medicine are very important to the society and to the research community, it is imperative to promote the discussion and knowledge dissemination, in Portuguese territory, on how the Artificial Intelligence can contribute to improve patient conditions and help the healthcare professionals.
Keywords
- Artificial Intelligence in Medicine
- Intelligent / Cognitive Clinical Decision Support Systems
- Medical methodologies and architectures
- Medical environments and systems
- Knowledge engineering
- Medical Applications and Devices
- AI in Healthcare Information Systems
Authors
First Name | Last Name | Country | Affiliation | |
---|---|---|---|---|
Manuel | Santos | mfs@dsi.uminho.pt | Portugal | University of Minho |
Carlos | Portela | cfp@dsi.uminho.pt | Portugal | University of Minho |
Allan | Tucker | allan.tucker@brunel.ac.uk | United Kingdom | Brunel University London |
Manuel | Delgado | manuel.fernandez.delgado@usc.es | Spain | University of Santiago |