[Summer Rewind] AI Model Development in Federated Mode For Cancer Detection

Did you miss these insights published this year? Now is the time to catch up. This summer, we offer you the opportunity to discover or rediscover the medical news published in our affiliated publication, DirectIndustry e-magazine. In this article, we focus on the FEDERATED-PET project which aims to build AI models for lung cancer detection.

In this article, Professor Olivier Humbert, Head of the Nuclear Medicine Department at the Centre Antoine Lacassagne in Nice, discusses the FEDERATED-PET project. This collaborative effort involves 10 French hospitals, including the oncology department at Lacassagne Hospital, aiming to build AI models for lung cancer detection while ensuring data confidentiality.

The FEDERATED-PET project focuses on extracting information from PET imaging data related to lung cancer. Rather than sharing patient data externally, the hospitals create AI models within their own servers. Active involvement by doctors is crucial—they identify eligible patients and ensure data quality.

The project, initiated a year ago with a 1 million euro budget, spans four years, and aims to revolutionize lung cancer detection using safe AI practices1.

Explore the full article for more details: Interview. How French Hospitals Are Pioneering AI Model Development in Federated Mode For Cancer Detection