The Microsoft AI team shares research that demonstrates how AI can sequentially investigate and solve medicine’s most complex diagnostic challenges—cases that expert physicians struggle to answer.
Benchmarked against real-world case records published each week in the New England Journal of Medicine, we show that the Microsoft AI Diagnostic Orchestrator (MAI-DxO) correctly diagnoses up to 85% of NEJM case proceedings, a rate more than four times higher than a group of experienced physicians. MAI-DxO also gets to the correct diagnosis more cost-effectively than physicians.
Yeah that’s why these gains in “efficiency” are completely imaginary.
The AI only needs to alert the doctor that something is off and should be tested for. It does not replace doctors, but augments them. It’s actually a great use for AI, it’s just not what we think of as AI in a post-LLM world. The medically useful AI is pattern recognition. LLMs may also help doctors if they need a starting point into researching something weird and obscure, but ChatGPT isn’t being used for diagnosing patients, nor is anything any AI says the “final verdict”. It’s just a tool to improve early detection of disorders, or it might point someone towards an useful article or book.
Only if you don’t have the critical thinking to understand how information management is a significant problem and barrier to medical care.
Being able to research and find material relevant to a patient’s problem is an arduous task that often is too high a barrier for doctors to invest in given their regular workloads.
Which leads to a reduction in effective care.
By providing a more efficient and effective way to dig up information that saves a ton of time and improves care.
It’s still up to the doctor to evaluate that information, but now they’re not slogging away trying to find it.