Becker’s Healthcare Podcast Scaling AI Responsibly in Cancer Care
Mar 27, 2026
Natalia Somerville, Director of Decision Intelligence at Memorial Sloan Kettering, who built MSK’s AI governance model, and Rick Peng, Digital Ventures Lead applying AI across clinical care and research, discuss scaling AI responsibly in cancer care. They cover current AI uses at MSK. They explain why governance is essential, the AI lifecycle and review process, monitoring for safety, and partnering with industry while staying compliant.
AI Snips
Chapters
Transcript
Episode notes
AI Is Embedded Across Clinical Care Research And Operations
- MSK applies AI across clinical care, research, and enterprise operations to augment clinicians, accelerate therapeutics, and improve staff workflows.
- Examples include Abridge for visit transcription, internal models predicting therapy response, and pharma partnerships to co-develop oncology AI.
AI Task Force Catalyzed Governance Work At MSK
- MSK formed an AI task force and a governance work group led by the chief informatics officer to identify valuable use cases and governance needs.
- Natalia engaged legal, clinicians, ethics, and technologists to ensure safe scaling as deployments grew exponentially.
Governance Is Nonnegotiable In High Stakes Cancer Care
- Governance is essential in high-stakes cancer care because AI impacts patient care, research integrity, ethics, and requires cross-stakeholder coordination.
- Large organizations need connected processes for development, deployment, and data inputs to ensure responsible performance.