HC-AIxIA-SC 2025

The 1st AIxIA Summer School on Artificial Intelligence for Healthcare offers an outstanding opportunity for PhD students, scholars, and practitioners to further develop their skills and deepen their understanding of the field’s research areas. 

Designed as an interdisciplinary event, the school brings together physicians, clinicians, researchers, computer scientists, data scientists, AI engineers, and more. Rather than "teaching doctors AI" or "teaching computer scientists medicine", the School concentrates on best-practice interdisciplinary collaboration; instead of relying solely on traditional face-to-face lectures throughout the week, the program fosters a discussion-based environment where participants can explore the challenges they will face in the coming years, as well as examine the risks, tools, and key requirements identified by domain experts.

Featuring experts from academia, industry, and healthcare, the school creates a collaborative setting promising significant benefits for all involved.

The macro-topics that covered are the following:

• Causal Models for Clinical Decision Making

• Natural Language Processing in Healthcare

• Medical Imaging Data Pipelines for Clinical AI

The range of topics has been carefully designed to instill an understanding of multi-modality that students can apply to their own research contexts by the end of the school. For each topic, both discussion-based and hands-on sessions are organized. In addition, a dedicated session is planned for students to present their ongoing research.