
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…