AI outperforms doctors in detecting secondary breast cancer, SNUH study finds

A new study by Seoul National University Hospital (SNUH) has found that artificial intelligence (AI) is more accurate than doctors at detecting secondary breast cancer, particularly identifying cases that physicians missed. The findings suggest that AI could significantly improve the diagnosis and prognosis of cancer survivors. On Friday, SNUH’s Department of Radiology, led by Professors Chang Jung-min and Ha Su-min, announced the results of a comparative study involving 4,189 patients who had undergone a mastectomy. The researchers compared the diagnostic accuracy of AI software with that of experienced radiologists by analyzing mammography images of the patients’ remaining breasts — where the risk of secondary cancer is known to be elevated. Secondary cancer refers to a new malignancy that appears in a different location after successful treatment of the initial cancer. Breast cancer, the most common cancer among women, often develops in the opposite breast following a mastectomy. The AI software used in the study is commonly employed in routine breast cancer screening for the gWeiter zum vollständigen Artikel bei Korea Times Weiter zum vollständigen Artikel bei Korea Times