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This Medical News article is an interview with Marzyeh Ghassemi, a machine learning expert at the Massachusetts Institute of Technology who focuses on health ca

MIT researchers propose modeling regulation of AI in health after the existing aviation regulatory system.

The deep learning model, known as Sybil, predicts future lung cancer risk based on a single low-dose chest CT and can identify individuals who would benefit from regular monitoring.

Sybil is a new artificial intelligence tool that can detect lung cancer up to six years in advance. MIT and Mass General Cancer Center researchers designed an AI tool, called

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...

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) demonst...

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 ca...