ECR: AI boosts junior radiologists ' breast cancer detection metrics

VIENNA - An AI algorithm boosts junior radiologists' breast cancer detection metrics, according to a presentation delivered March 1 at ECR 2024. The study findings could make a busy radiology department more effective, said presenter Mehran Ahmadi, MD, of Tehran University of Medical Sciences in Iran. "[We found that] AI can improve the diagnostic capabilities and detection rates of radiologists with less than five years experience," he told session attendees. Breast cancer is the leading cause of cancer death among women around the world, Ahmadi noted. Screening for the disease with mammography can be tricky, however: High resolution is needed to identify small lesions, there can be indistinct boundaries on some lesions that mimic normal tissue, and high variation exists among fibroglandular patterns. All of these characteristics can make finding breast cancer with mammography challenging for less experienced readers. That's how AI can help, Ahmadi said. He and colleagues explored whether an AI algorithm could improve junior radiologists' cancer detection performance via a study that included 2,060 digital mammography exams from 515 women taken between 2018 and 2022. Of these exams, 240 showed malignancies and 1,820 were benign. Four junior radiologists reviewed and interpreted the exams without assistance from the AI algorithm and then were presented with AI-generated interpretations of the same exams and given the opportunity to revise their interpretations. Ahmadi's g...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Artificial Intelligence Source Type: news