BI-RADS Score Prediction Using AI for Breast Cancer Screening

Artificial Intelligence has penetrated every domain beyond imagination. Healthcare is one such domain; especially in areas where imaging assists in diagnosis, AI is used powerfully. This study demonstrates the usage of AI in breast cancer screening. The most popular breast cancer screening test now available is a mammogram. However, mammograms have limitations, which could be overcome by AI. This study investigates how radiologists can utilize Artificial Intelligence to diagnose breast cancer from mammograms and use that information to make better decisions. After gaining approval from the scientific and ethical council, this experiment was carried out utilizing a real-time data set. This experimental investigation employed a total of 1646 mammography pictures from 414 subjects. The radiologist can follow this model when analyzing mammogram images. The prediction model provides results with a precision of 0.75 for Bi-rad 0, 0.96 for Bi-rad 1, and 0.6 for Bi-rad 2.