Quels sont les impacts de l'intelligence artificielle dans le dépistage du cancer du sein ?

Details

Supervisors

Feron, Olivier

Faculty

Faculté de pharmacie et des sciences biomédicales

Degree label

Master [120] en sciences pharmaceutiques, à finalité spécialisée

Abstract

enBreast cancer remains a major public health issue. Early screening increases survival rates, allows for faster treatment, and helps prevent serious complications. Current screening methods such as mammography, MRI, and ultrasound enable early detection, but still have certain limitations. Today, artificial intelligence (AI) is emerging as a promising complementary tool to optimize screening. This thesis explores the various impacts of AI on breast cancer screening by analyzing and comparing the performance of several AI models to that of radiologists. Results show that AI improves detection, reduces false positives, and helps predict individual cancer risk. AI also helps to ease the workload of radiologists and lower healthcare system costs. Despite these benefits, several challenges remain, such as ethical concerns, algorithm biases, the quality and diversity of data, acceptance by patients and healthcare professionals, and the question of responsibility in case of AI system errors.