AI could help with breast ultrasound workloads

A team led by Dr. Linda Moy from New York University trained their own AI model in their study of 45,000 exams, saying that hybrid decision-making models may enhance the performance of breast imagers without the added cost of a second human reader.

“Our AI system detects cancers exceeding that of board-certified radiologists and it may help reduce unnecessary biopsies and perhaps help harness enhance decision-making where there are shortages of radiologists,” Moy said.

Ultrasound detects additional cancers when used as a supplemental screening method, but researchers said it has high…

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Radiology AI
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