This book provides an overview of the role of AI in medicine and, more generally, of issues at the intersection of mathematics, informatics, and medicine. It is intended for AI experts, offering them a valuable retrospective and a global vision for the future, as well as for non-experts who are curious about this timely and important subject. Its goal is to provide clear, objective, and reasonable information on the issues covered, avoiding any fantasies that the topic AI might evoke. In addition, the book seeks to provide a broad kaleidoscopic perspective, rather than deep technical details.

 

Bernard Nordlinger is a Professor of Surgical OncologyUniversité de Versailles, APHP, and co-organizer of the IA and Health Working Group of the Académie nationale de Médecine and Académie des sciences.

Cédric Villani is a mathematician, Fields Medal winner, Professor at the Claude Bernard Lyon 1 University, member of the Academy of Sciences, member of French Parliament, and first vice-president of the Office parlementaire d'évaluation des choix scientifiques et technologiques (OPECST).

Daniela Rus is Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) and Andrew and Erna Viterbi Professor at the Department of Electrical Engineering and Computer Science (EECS), Massachusetts Institute of Technology.

 

Introduction.- Artificial Intelligence and Tomorrow's Health.- Databases.- Matching an Epidemiological Cohort to Medico-Administrative Databases.- Medical and Administrative Data from Health Insurance.- How the SNIIRAMPMSI Database Enables the Study of Surgical Practices.- Hospital Databases.- The Experience of the Institut Curie.