Events

Advances in deep learning and digital medical data enabled significant progress in ophthalmology, with AI applied to fundus images and OCT scans for accurate disease detection and clinical prediction. The seminar reviewed original research on leveraging eye images to support ophthalmology and to predict and manage non-ocular diseases.

It is essential that clinicians can harness the power of Artificial Intelligence without needing any background in coding. Introducing the core principles of AI techniques in a clear and accessible way allows healthcare professionals to understand how these tools can transform data analysis, clinical decision making and research workflows. By lowering the technical barrier and focusing on practical use, we empower clinicians to integrate AI into their daily practice and to lead innovation in patient care.

Health professionals from Rambam Health Campus presented clinical challenges, and participants formed multidisciplinary teams to work on selected projects during a two-day datathon. The teams developed data-driven solutions and presented their results, with three finalists selected to showcase their work at the conference on the 9th, where a jury evaluated the projects and announced the winning team.