PharmaTimes April 18, 2024
Jen Brogan

The Tyche model could help clinicians and researchers capture crucial information in images

Researchers from the Massachusetts Institute of Technology (MIT), the Broad Institute of MIT and Harvard, and Massachusetts General Hospital have introduced a new artificial intelligence (AI) tool to capture the uncertainty in a medical image.

Funded by the National Institute of Health, the Eric and Wendy Schmidt Center and Quanta Computer, the Tyche machine-learning model could help clinicians and researchers capture crucial information.

In biomedicine, AI models help clinicians by highlighting pixels that show signs of a certain disease or anomaly. However, these types of models usually only provide one answer.

“Having options can help in decision-making” and “so it is important to take this uncertainty into...

Today's Sponsors

LEK
ZeOmega

Today's Sponsor

LEK

 
Topics: AI (Artificial Intelligence), Physician, Provider, Radiology, Technology
How AI will change the way you use your browser
Humana to Leverage Google Cloud’s GenAI Capabilities to Improve Member Experiences
Eisai adopts Medidata’s AI-driven platform for clinical trials
How Microsoft is turning AI skeptics into AI power users
CMS to reimburse providers for use of AI prostate cancer mapping tool

Share This Article