Cornell Tech - The AI for Medical Imaging (AI4MI) Research Initiative

World-class, cross-disciplinary research ecosystem

AI4MI unites the Department of Radiology at Weill Cornell Medicine and Cornell Tech in a first-of-its-kind cross-campus initiative to transform how medical imaging is developed, deployed, and applied in real-world clinical settings. AI4MI advances the university’s “One Cornell” priority by creating a world-class, cross-disciplinary research ecosystem that brings together engineers, computer scientists, clinicians, and researchers across campuses and beyond.

Catalyzing and amplifying collaborative research

AI4MI creates seamless pathways between Cornell Tech and Weill Cornell Medicine, giving researchers the access, resources, and connections they need to accelerate innovation.

Connecting researchers and practitioners

Engineers and computer scientists are immersed in a cutting-edge tech environment while connecting directly with clinicians and real-world healthcare challenges.

Powerful infrastructure

From secure AI clusters to large-scale initiatives like Empire AI, AI4MI provides the computational horsepower needed to push the boundaries of discovery.

Collaboration that counts

Faculty, post-docs, and students engage with radiologists and medical experts to spark breakthroughs that attract funding and transform care.

Mert Sabuncu

Professor

Mert Sabuncu is a Professor at Cornell Tech and in the Electrical and Computer Engineering Department at Cornell University, and holds a secondary appointment in the Department of Radiology at Weill Cornell Medicine.

Areas of Research:

Computer vision
Machine learning
Medical imaging

Academic Degrees:

Ph.D., Princeton University, 2006

Research Labs and Initiatives:

AI for Medical Imaging

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