When predictions were deemed confident, recall decisions were made by the model; otherwise, radiologist double reading was applied. HealthDay News — An artificial intelligence (AI) strategy can reduce ...

In a study of nearly 5,000 screening mammograms interpreted by an FDA-approved AI algorithm, patient characteristics such as race and age influenced false positive results. The study's results were ...

According to a study published in the European Journal of Cancer, the fairness and equity of datasets for AI-driven mammogram interpretation might be jeopardized by the underrepresentation of racial ...

Less that 5% of survey respondents accepted the idea of stand-alone mammogram AI interpretation, while 71% supported AI as a second reader. About three-quarters of patients had minimal or no knowledge ...

Please provide your email address to receive an email when new articles are posted on . A multicenter randomized trial will investigate whether AI-assisted interpretation of mammograms improves ...

Example screening mammograms with an invasive ductal carcinoma (arrows) in which the women would not have been recalled with an AI–reading-only strategy. However, these examinations would have been ...

Before the intervention, the department’s peak turnaround time for mammogram reports reached 198 hours, or 8.25 days. Researchers identified three causes for the delayed reporting: radiologist ...

Dr. Harvey answers the question: 'How Does A Biopsy Affect Future Mammograms?' — -- Question: Does having a previous biopsy or a lumpectomy make it more difficult to interpret a mammogram? Answer ...

Newly updated US Food and Drug Administration regulations will require mammography facilities to notify patients about the density of their breasts. Women with dense breasts are at higher risk for ...