Cleveland Clinic AI Summit
AI-Extracted Chart Data for Expanding Surgical Oncology Learnings
Large language models (LLMs) are capable of extracting structured data directly from electronic medical records, expanding data sets available for research, training, and developing artificial intelli...
Verifying the Seen and Unseen by AI in Cancer Imaging
Artificial intelligence (AI) can be used in medical imaging and diagnostics to enhance physician capabilities, but also to identify features that humans are not able to see. In research settings, AI h...
As AI Advances, How Will the Clinician’s Role Change?
Peter Clardy, MD, of Google for Health, described a fundamental challenge facing clinicians in the artificial intelligence (AI) era: AI capabilities are advancing rapidly at the same time clinicians ...
AI’s Evolving Role in Clinical Care Enterprise-Wide
Artificial intelligence could reshape health care by reducing administrative work, helping physicians identify and manage disease, and extending care beyond traditional clinical settings—potentially a...
Cleveland Clinic President Discusses Friday’s AI Summit for Health-Care Professionals
Artificial intelligence (AI) is one of the most transformative technological advancements of our time, poised to revolutionize every aspect of our lives, including health care. On August 28, Cleveland...
Cleveland Clinic to Host Second Annual AI Summit for Health-Care Professionals
AI is one of the most transformative technological advancements of our time, poised to revolutionize every aspect of our lives, including health care. On August 28, 2026, Cleveland Clinic in collabora...
