Dr. Laurie Margolies demonstrates the Koios DS Smart Ultrasound software, Wednesday, May 8, 2024, at Mount Sinai hospital in New York. The breast imaging AI is used to get a second opinion on mammography ultrasounds. I will tell patients, I looked at it, and the computer looked at it, and we both agree, Margolies said. Hearing me say that we both agree, I think that gives the patient an even greater level of confidence.
For all the promises from industry, radiologists see a number of reasons to be skeptical of AI programs: limited testing in real-world settings, lack of transparency about how they work and questions about the demographics of the patients used to train them. “We try to tell them they’re overtreating people and they’re wasting a ton of time and resources,” said Chad McClennan, CEO of Koios Medical, which sells an AI tool for ultrasounds of the thyroid, the vast majority of which are not cancerous. “We tell them, ‘Let the machine look at it, you sign the report and be done with it.’”
In the near term, experts say AI will work like autopilot systems on planes — performing important navigation functions, but always under the supervision of a human pilot. Initial results from a Swedish study of 80,000 women showed a single radiologist working with AI detected 20% more cancers among mammograms than two radiologists working without the technology.
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