Combining AI and medicine means talking about the medicine of the future, but even more about impro-ving the quality of care. Its fields of application: predictive medicine, precision medicine, decision support, prevention, computer-assisted surgery, robotic support for the elderly, etc. are all related concerns: the possibility of maintaining human contact with the patient, the explicability of the algorithm -the collec-tion of health data -and the improvement of the health care system. AI applications are already improving the quality of care. Its deployment at the heart of the medicine of the future is in constant evolution. To be acceptable and legitimate, the decisions of any algorithm must be understood and therefore explai-ned. Only a good understanding of the diagnoses and therapies proposed by the AI application will allow doctors to discuss with their patients and to explain the possible alternatives. In the opposite case, the doctor risks to dismiss the use of algorithms because he will not be able to justify the decisions which will pose problems in terms of liability research in particular. (C) 2021 Elsevier Masson SAS. All rights reserved.
