Stay updated with breaking news from Quanta Computing. Get real-time updates on events, politics, business, and more. Visit us for reliable news and exclusive interviews.
Scientists demonstrate that artificial intelligence risk models for breast cancer, paired with AI-designed screening policies, can offer significant and equitable improvements to cancer screening.
Magistrate Judge Susan Hightower granted a defendant’s motion to exclude an expert’s damages theory for violating the entire market value rule, reminding plaintiffs everywhere to use caution when applying the sales of an entire product as a royalty base.
On January 3, 2022, Magistrate Judge Susan Hightower granted a defendant’s motion to exclude an expert’s damages theory for violating the entire market value rule, reminding plaintiffs...
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 sh...
Science for just $15 USD. Don’t risk it Mammograms are a common but imperfect way of assessing breast cancer risk. Current U.S. breast cancer screening guidelines all use a component of cancer risk assessment to inform clinical course. Yala et al. developed a machine learning model called “Mirai” to predict breast cancer risk based on traditional mammograms. The authors’ risk model performed better than Tyrer-Cuzick and previous deep learning models at identifying both 5-year breast cancer risk and high-risk patients across multiple international cohorts. Mirai also performed similar...