How well does AI triage normal screening breast MRI exams?


In a presentation from the International Society for Magnetic Resonance in Medicine (ISMRM) meeting in London, researchers from Memorial Sloan Kettering Cancer Center in New York City discussed how they developed a deep-learning model designed to triage normal screening breast MRI exams to a special worklist requiring only abbreviated review by a radiologist.


In testing, the algorithm performed well and would have yielded an estimated 20% time savings for the radiologists, according to presenter Arka Bhowmik, PhD.


“We developed a deep-learning tool that triages 20% of the normal cases…



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