Samyukta Mullangi, Medical Oncologist at Tennessee Oncology and VP of Clinical Strategy at OpenEvidence, shared a post on LinkedIn:
“A busy week where I share my evolving thoughts on AI enablement of physicians.
Oncology, with its algorithmic heritage (see: staging paradigms, NCCN guidelines, ASCO decision matrices) has done more than any other specialty to compress clinical wisdom into structured, transmissible forms.
This makes it uniquely suited for AI clinical decision support tools. AI can also unlock so much more nuance than is possible in compressed decision trees.
In the last several months, I’ve been thinking about how frameworks for AI enablement in physician decision-making can vary so greatly between specialties. A best-in-class solution for PCPs will necessarily be different from one created for radiologists or another for oncologists.
I elaborate on these thoughts more:
- this Thursday at the National Cancer Institute (NCI) Foundation Models of Cancer virtual workshop.
- this Friday at the National Comprehensive Cancer Network (NCCN) 2026 Annual Conference in Orlando.
And will be joining my OpenEvidence colleagues at the American College of Cardiology conference in New Orleans on Saturday!
Excited for all of it, and looking forward to some great discussions.”
Other articles featuring Samyukta Mullangi on OncoDaily.