International Workshop on Artificial Intelligence for Health
Scope
For more than 20 years, the field of health has become a fertile testing ground for research in digital technology. Translational research in health represents a complete set of activities, incorporating fundamental, clinical, and technological knowledge. Each of these activities generates a lot of data and includes a growing part of research dedicated to artificial intelligence. All these domains are carried out by numerous transdisciplinary research teams. The Artificial Intelligence and Health Workshop aims to bring together researchers from academia, industry, government, and medical centres to present their research results using medical data by artificial reasoning based on knowledge representation and reasoning, machine learning, knowledge discovery, distributed artificial intelligence…
Topics for the workshop include, but are not limited to:
- Knowledge Discovery and Management
- Data and Graph Mining
- Machine and Deep Learning
- Explainable AI
- AI for Precision Medicine
- Optimization for Healthcare problems
- Medical Expert Systems
- Diagnosis and Therapy Support Systems
- Ambient Intelligence and Pervasive Computing in Medicine and Healthcare
- AI in genomics, drug discovery, therapeutic targeting
Workshop Co-Chairs
Charalambos Papaxanthis, Inserm, France
Christophe Nicolle, University of Bourgogne, France
Program Committee
- Julien Henriet, UFC
- Racoceanu Daniel, Sorbonne
- Geugnon Mathieu, CHU
- Lebon Forent, UB
- Bove Marco, It
- Paul Ornetti, CHU
- Peter Dominey, Inserm
- Gaveau Jérémie, CHU
- Saleem Umar, Bioserenity
- Stéphane Gérart, Oncodesign
- Laroche Davy, CHU
- Pascal Benderitter, Oncodesign