4P medicine (predictive, preventive, personalized, and participatory) aims to improve quality of life by anticipating and treating diseases early thanks to advances in artificial intelligence (AI) and health data exploitation. While vaccines have increased life expectancy from 30 to 70 years, medicine’s new challenge is to ensure a healthy life for as many people as possible until the end. This new objective is essential for keeping healthcare costs manageable in an aging society.
In Brussels, the spinoff company Intuitim (medical imaging analysis for breast cancer screening), the City-Labs initiative (rapid access to medical analyses), and participatory tools such as Manzana (diabetology) and PSEE (psychiatry) are concrete pilot experiments of these technologies conducted by the St. Luc Clinics and UCLouvain.
The risk of medical determinism, data protection, and equitable access to digital care raise new challenges: responsible and ethical integration of AI is essential to ensuring precision medicine that combines technological innovation with respect for human values.
What is already known about the topic?
Artificial intelligence (AI) is transforming medicine by enabling a predictive, preventive, personalized, and participatory approach (4P medicine). While multi-omics data analysis, deep learning models, and medical decision support systems bring major advances, they also pose ethical and organizational challenges.
What does this article bring up for us?
This article explores how AI is revolutionizing medical practices by illustrating its concrete benefits through experiments and spinoffs from UCLouvain in Brussels. It also highlights the ethical issues, technological limitations, and avenues for optimization to ensure the reasoned and effective adoption of AI in medicine.