Applications of Artificial Intelligence in Public Health and Medicine: From Targeted, Improved Technical Tools to a Wide, Deep Social Revolution
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Health Care Sciences".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 1067
Special Issue Editors
2. HCSP–Haut Conseil de la Santé Publique, 10 Place des 5 Martyrs du lycée Buffon, 75014 Paris, France
Interests: public health; social epidemiology; mathematics; big data; artificial intelligence; mixed methods; violence; forensic medicine
Interests: machine learning; natural language processing applied to medical causes of death identification; public health; artificial intelligence; health data; social epidemiology
Interests: social epidemiology; public health; artificial intelligence; personalized medicine; health inequalities
Special Issue Information
Dear Colleagues,
Since the end of the 2010s, there has been a strong resurgence of interest in artificial intelligence (AI) in all areas of activity, including health. While the concept and the first techniques of artificial intelligence are now more than 60 years old, this renewal of AI is often made to coincide with the successes encountered by the progress of machine learning, more specifically, deep learning. This vision is reductive because what we are witnessing is above all an acceleration of both a general and continuous movement and of more or less mature technological developments, in a sociocultural context favorable to their establishment.
Health is a very specific sector, subject on the one hand to strong regulation, and on the other hand the subject of concerns shared by the greatest number and not stopping at the borders of healthcare systems or medicine. Public health is also unique in that it refers as much to the health of populations as to the means, particularly political ones, put in place to maintain and improve it. AI, and the more general development of digital technology, arise in this ambivalent context, between very strong regulation and the common good, collective and individual.
For this Special Issue, we call for contributions that can account for the entire spectrum between these two extremes, in order to determine whether they are fully reconcilable:
- The application of AI to targeted issues in medicine and public health: use of natural language processing to extract knowledge from medical records and the scientific literature; diagnostic aid; predictive modeling of diseases, epidemics, the evolution of a health system under various constraints; ethical, legal, ecological and economic aspects of AI in health; etc.;
- The application of AI in public or population health, as a socio-technical means redistributing roles between traditional health actors and new actors, promoting the emergence of new uses and new practices, authorized or not at present: the health in the hands of private companies outside of health; the reaction of public institutions to digital and AI in health; the place of the individual and the patient in relation to AI and their health; new jobs; etc.
We, therefore, invite both articles presenting applications, specific use cases, in particular, their scientific evaluation, and articles on perspectives or the state of the art on these questions. AI is evolving rapidly in an ecosystem that is generally favorable to it and is capable of dramatically changing many aspects of medicine and public health. We are counting on your contributions to help give us new landmarks.
Dr. Thomas Lefèvre
Dr. Claire Morgand
Dr. Cyrille Delpierre
Guest Editors
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Keywords
- artificial intelligence
- machine learning
- public health
- medicine
- digital revolution
- digital transformation
- personalized medicine
- predictive modeling
- health policy
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