ஹார்வர்ட் மருத்துவ பள்ளி ப்ரொஃபெஸர் நிலைத்தன்மை லெஹ்மன் News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Massachusetts Institute of Technology
To catch cancer earlier, we need to predict who is going to get it in the future. The complex nature of forecasting risk has been bolstered by artificial intelligence (AI) tools, but the adoption of AI in medicine has been limited by poor performance on new patient populations and neglect to racial minorities.
Two years ago, a team of scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and Jameel Clinic (J-Clinic) demonstrated a deep learning system to predict cancer risk using just a patient’s mammogram. The model showed significant promise and even improved inclusivity: It was equally accurate for both white and Black women, which is especially important given that Black women are 43 percent more likely to die from breast cancer. ....

Minas Gerais , United States , North Carolina , Emory University , Chang Gung Memorial Hospital , Taoyuan Xian , Kevin Hughes , Salewai Oseni , Susang Komen , Judy Gichoya , Gigin Lin , Peterg Mikhael , Kevin Smith , Regina Barzilay , Adam Yala , Breast Cancer Research Foundation , Artificial Intelligence Laboratory , Professor Yung Liang Wan Of Chang Gung University , Fredrik Strand Of Karolinska University Hospital , Karolinska Institute , Novant Health , Chang Gung Medical Foundation Grant , Harvard Medical School Professor Constance Lehman , Royal Institute Of Technology , Jameel Clinic , Massachusetts General Hospital ,