Roupen Odabashian: Microsoft’s “AI Doctor” just out-diagnosed primary care and general doctors on rare NEJM CPC cases
Roupen Odabashian, Hematology/Oncology Fellow at the Karmanos Cancer Institute, shared a post on LinkedIn:
“Microsoft’s “AI Doctor” just out-diagnosed primary care and general doctors on rare NEJM CPC cases—at 4× the accuracy and lower cost.
This is an excellent paper that I feature in our AI in Healthcare Journal Club. It presents great results and marks a significant step forward in how we approach clinical decision support with AI agents. However, like any study, it has its limitations—but it opens the door to an exciting new paradigm in medical reasoning and care delivery!
Why it matters:
- It redefines how we can increase the accuracy of current large language models.
- Hints at a new class of agentic LLM products—combinatorial AI workers collaborating in real time.
- Opens the door to savings in diagnostic error reduction and test utilization.
I’m even wondering if we can apply that same orchestration and framework to smaller models to increase their accuracy. That way, we not only decrease healthcare costs but also the cost of utilizing AI.”
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