Analyzing breast-cancer tumors with synthetic intelligence has the potential to enhance healthcare effectivity and outcomes. However medical doctors ought to proceed cautiously, as a result of related technological leaps beforehand led to increased charges of false-positive exams and over-treatment.
That is based on a brand new editorial in JAMA Well being Discussion board co-written by Joann G. Elmore, MD, MPH, a researcher on the UCLA Jonsson Complete Most cancers Middle, the Rosalinde and Arthur Gilbert Basis Endowed Chair in Well being Care Supply and professor of medication on the David Geffen College of Drugs at UCLA.
“And not using a extra strong strategy to the analysis and implementation of AI, given the unabated adoption of emergent expertise in medical apply, we’re failing to study from our previous errors in mammography,” the JAMA Well being Discussion board editorial states. The piece, posted on-line Friday, was co-written with Christoph I. Lee, MD, MS, MBA, a professor of radiology on the College of Washington College of Drugs.
A type of “previous errors in mammography,” based on the authors, was adjunct computer-aided detection (CAD) instruments, which grew quickly in recognition within the subject of breast most cancers screening beginning greater than 20 years in the past. CAD was authorized by the FDA in 1998, and by 2016 greater than 92% of U.S. imaging services have been utilizing the expertise to interpret mammograms and hunt for tumors. However the proof confirmed CAD didn’t enhance mammography accuracy. “CAD instruments are related to elevated false constructive charges, resulting in overdiagnosis of ductal carcinoma in situ and pointless diagnostic testing,” the authors wrote. Medicare stopped paying for CAD in 2018, however by then the instruments had racked up greater than $400 million a yr in pointless well being prices.
“The untimely adoption of CAD is a premonitory symptom of the wholehearted embrace of emergent applied sciences prior to completely understanding their influence on affected person outcomes,” Elmore and Lee wrote.
The medical doctors recommend a number of safeguards to place in place to keep away from “repeating previous errors,” together with tying Medicare reimbursement to “improved affected person outcomes, not simply improved technical efficiency in synthetic settings.”
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