This article is from a special issue of Science et Avenir n ° 199 dated October-November 2019.
Not a week goes by without declaring an algorithm more efficient than a doctor. Using X-rays, images of the skin, or fundus, genetic data, machines today detect dozens of diseases more safely and quickly. Diabetes, cancer, eye disease, fracture… to the extent of replacing the good old family doctor?
an “augmented” doctor
Fact, “Artificial intelligence will fundamentally change all healthcare businesses. But it is not general practitioners who will be most affectedOutlines Dr. Jacques Lucas, former First Vice President of the National Council of the Order of Physicians and coordinator of the White Paper on Medicine and Artificial Intelligence. The general practitioner is, by definition, ‘multitasking’, dealing with a wide range of pathologies from influenza to cancer. But it is also the patient’s first point of contact. This central role will change little, but AI tools will help refine his diagnosis and make him an ‘enhanced’ doctor in case of hesitation. For example, he or she will be able to calculate the probability that a mole is suspicious or not, with accuracy higher in theory than even the best dermatologists.” For an electrocardiogram, a picture of the eye… On the other hand, appointments will be shorter – but of better quality, we promise… because non-medical health professionals are also equipped with tools to aid diagnosis. And the choice of treatment, will handle.
free time to listen
“Nurses, physiotherapists, orthoptists, teleoperators, etc., will provide part of the local care and monitoring of chronic diseases (diabetes, some cancers and heart diseases, asthma, eye diseases, etc.).”, explains Professor Guy Valencian. So instead of doctor? in part. “The main thing is to take care of man”, recalls Bernard Nordlinger, surgeon, co-director of the book health and artificial intelligence With Mathematician and MP Cedric Villani. This is the meaning of the opinion released in June by the National Ethics Advisory Council (CCNE), which said “that a direct personal relationship must exist between healthcare professionals and patients” […], the use of technologies also aims to free up time for listening and discussion “. In dermatology or ophthalmology, algorithms have already learned how to diagnose and recommend treatment. Undoubtedly. “But who wants, Jacques asks Lucas, One Sunday morning, alone, to learn from the sound of a smartphone that her skin rash has an 80% risk of getting cancer?”