Hologic’s AI-powered mammography technology identified breast cancer in a significant number of cases that were initially classified as negative by radiologists, according to a new study involving 7,500 screening exams. The research found that the AI system detected cancer in approximately one-third of the cases that had been missed during the initial interpretation. The study highlights the potential of artificial intelligence to enhance early detection and reduce false negatives in breast cancer screening. Hologic’s AI technology, integrated into its mammography platforms, analyzes imaging data to flag suspicious areas that may be overlooked during routine review. The findings come at a time when improving screening accuracy is a top priority in oncology, particularly given the challenges of detecting early-stage cancers that may not be clearly visible on standard mammograms. By serving as a second read, the AI tool helps radiologists catch subtle abnormalities that could indicate cancer, potentially leading to earlier diagnoses and better patient outcomes. Hologic, a global leader in women’s health technology, continues to expand its AI capabilities within diagnostic imaging, aiming to support clinicians with data-driven insights. The company emphasizes that the AI is designed to assist, not replace, radiologists, working in partnership to improve diagnostic precision and reduce the risk of missed cancers. The results of the study reinforce growing evidence that AI can play a critical role in enhancing the reliability of medical imaging, especially in high-volume screening settings. As the technology advances, it may become a standard component in breast cancer detection protocols, helping to lower mortality rates and improve long-term care.