AI in Healthcare: A Strategic Application Sector for ANITI
The use of Artificial Intelligence (AI) techniques in the healthcare sector is a rapidly expanding research area. It is a priority topic within the national AI strategy and is featured in several national and international research programs and calls for projects.
Hybrid AI Serving Healthcare Professionals
Based on the hybrid and multidisciplinary approaches central to ANITI, which combine machine learning techniques with logical, biological, or physical models, advancements in various fields of AI are at the heart of future medicine. Applied across numerous healthcare sectors, these advancements notably enable the improvement of care quality, better patient management, and the design of new treatments tailored to each individual.
Leveraging heterogeneous, multidimensional, and complex data, AI assists healthcare professionals in several ways: making earlier and more reliable diagnoses, identifying relevant biomarkers to better understand the evolution of certain pathologies, proposing personalized treatments and care pathways, and facilitating operations assisted by advanced robotics, imaging, or digital twins, among other applications. The application of AI in healthcare is vast and has potential for further expansion.
Crucially, this also raises significant questions concerning the social acceptability of these approaches, the respect for data confidentiality and privacy, and ethical considerations—all topics strongly represented in ANITI’s research themes.
The “AI for Health” Program: One Ambition, Multiple Themes
In early 2023, the “AI for Health” program, supported by the Occitanie Region and led by ANITI, was launched.
The region represents an ideal area to tackle these challenges. It benefits from high-level university potential and an innovation ecosystem in the fields of health, biology, biotechnologies, and digital technology, particularly in the cities of Toulouse, Montpellier, and Nîmes.
Mission
This program aims to bring together regional stakeholders in research, training, the socio-economic world, and innovation around AI application techniques in health. It strengthens the links and synergies between AI researchers and medical professionals in the Occitanie Region, notably represented within its governing bodies.
General Themes
Certain strong themes represent differentiating points for Occitanie. Thus, at national and international levels of biomedical research, opportunities and needs for the development of AI research are well identified:
- Oncology (Cancer Research)
- Geroscience (Healthy Aging)
- Exposomics
These themes, among others, will naturally be at the core of the initial work carried out under this program.
Discover our scientific poster here
Scientific Project Leader: Sylvain Cussat-Blanc
Cheffe de projet : Charlotte Dahlem
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