Nikhil Thaker, Co-Founder, Chief Medical Officer at Bayta Systems, Deputy Editor in Chief at Mary Ann Liebert, Medical Director of Oncology Research at Capital Health (US), shared a post on LinkedIn:
“AI is rapidly changing oncology – but the real question is not whether AI will replace clinicians.
The better question is: How can clinicians learn to think with AI?
I’m excited to give an upcoming Oncology Grand Rounds presentation:
Artificial Intelligence in Oncology: The Rise of the Augmented Oncologist
Tuesday, June 9, 2026
7:00 – 8:00 AM EST
Live Zoom webcast
Register: Artificial Intelligence in Oncology:The Rise of the Augmented Oncologist
In this session, I’ll discuss how AI is already beginning to reshape oncology care, including:
- AI-enhanced cancer detection and imaging
- Deep learning, radiomics, and pathomics
- AI-assisted radiation oncology planning
- Large language models and clinical AI agents
- Digital twins and drug development
- The risks of de-skilling, automation bias, and passive AI use
- A framework for active AI partnership in clinical care
The central theme is simple: patient care must drive technology. AI should not replace the human connection at the center of oncology. It should help us reduce administrative burden, synthesize complex data, improve clinical workflows, and restore time for more thoughtful, compassionate patient care.
The future is not AI replacing oncologists. It is oncologists, clinicians, researchers, and healthcare leaders learning how to partner with AI safely, critically, and effectively.”
Registration is open here: Artificial Intelligence in Oncology:The Rise of the Augmented Oncologist
To which Yan Leyfman, Medical Oncologist, Co-Founder and Executive Director of MedNews Week, added:
“A can’t miss event.”
Other articles featuring Nikhil Thaker and Yan Leyfman on OncoDaily.