Paper submissions
Submissions are invited for peer-reviewed papers addressing the three core themes of the workshop: stable adaptation, faithful reasoning, and evaluation/trustworthiness of medical AI models.
First Workshop on Stable Adaptation and Faithful Evaluation of Reasoning in Medical Foundation Models
The SAFER 2026 workshop, held in conjunction with MICCAI in Strasbourg, France, brings together researchers from academia, industry, and clinical practice to advance trustworthy medical AI. It focuses on developing foundation models that enable stable adaptation, faithful reasoning, and robust evaluation across multimodal clinical data, with an emphasis on transparency, safety, and reliability in imaging and vision-language systems.
Paper fit
A strong submission should clearly identify its contribution and evaluate it appropriately.
Submissions are invited for peer-reviewed papers addressing the three core themes of the workshop: stable adaptation, faithful reasoning, and evaluation/trustworthiness of medical AI models.
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026