Jérôme Schmid

Prof. Jérôme Schmid is a Full Professor (Professeur HES ordinaire) at the Haute école de santé - Genève, part of the Faculty of Health. His expertise spans medical image processing, artificial intelligence (AI), and their clinical applications. He leads innovative projects addressing challenges in diagnostics, surgery planning, and medical education. Key roles include Principal Investigator in grants funded by Swiss National Science Foundation, Swiss Innovation Agency, and others.

Research Focus: Combines AI with medical imaging for applications such as Parkinson’s disease detection via SPECT, breast lesion analysis using ultrafast MRI, and AI-driven radiography training tools. Projects emphasize interdisciplinary collaboration with hospitals and industry partners.

Projects:

• DeepDAT (2022–2025): AI for Parkinson’s diagnosis via SPECT imaging.
• SUBREAM (2022–2025): Rapid breast MRI protocols with AI integration.
• AIRx (2019–2020): AI-based radiography simulation for student training.
• MyHip (2012–2014): Patient-specific hip arthroplasty planning.

Publications: Focus on AI-driven diagnostics, imaging techniques, and medical education. Recent works address drowning detection via post-mortem CT, multimodal AI fusion for breast cancer, and serious games in radiology training.

Grants & Partnerships:

• Swiss National Science Foundation: FAI analysis via multi-modal imaging.
• Innosuisse: Low-cost X-ray detectors for developing countries (GlobalDiagnostiX).
• Swiss Cancer Research Foundation: Breast MRI advancements (SUBREAM).

Labs/Teams: Collaborates with the Geneva University Hospitals, EPFL, and industry (e.g., Medacta International SA) on hardware and clinical AI solutions.