Near-Human Performance Achieved in Diagnosing Breast Cancer with Artificial Intelligence

Boston, MA (Scicasts) – New work suggests that computers can help doctors improve accuracy and significantly change the way cancer and other diseases are diagnosed. A research team from Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) recently developed artificial intelligence (AI) methods aimed at training computers to interpret pathology images, with the long-term goal of building AI-powered systems to make pathologic diagnoses more accurate. “Our AI method is based on deep learning, a machine-learning algorithm used for a range of applications including speech recognition and image recognition,” explained pathologist Dr. Andrew Beck, Director of Bioinformatics at the Cancer Research Institute at Beth Israel Deaconess Medical Center (BIDMC) and an Associate Professor at Harvard Medical School. “This approach teaches machines to interpret the complex patterns and structure…


Link to Full Article: Near-Human Performance Achieved in Diagnosing Breast Cancer with Artificial Intelligence