Jenniffer MW
@mommajtx.bsky.social
Reposted by Jenniffer MW
This post seems to have legs, so, I want to remind folks, medical AI has both potential and pitfalls.
Case in point: a recent very large RCT found AI-supported mammography increased cancer detection by 29% while cutting radiologists' workload by 44%, without more false positives.
Case in point: a recent very large RCT found AI-supported mammography increased cancer detection by 29% while cutting radiologists' workload by 44%, without more false positives.
Screening performance and characteristics of breast cancer detected in the Mammography Screening with Artificial Intelligence trial (MASAI): a randomised, controlled, parallel-group, non-inferiority, ...
The findings suggest that AI contributes to the early detection of clinically relevant
breast cancer and reduces screen-reading workload without increasing false positives.
www.thelancet.com
March 12, 2025 at 4:12 PM
This post seems to have legs, so, I want to remind folks, medical AI has both potential and pitfalls.
Case in point: a recent very large RCT found AI-supported mammography increased cancer detection by 29% while cutting radiologists' workload by 44%, without more false positives.
Case in point: a recent very large RCT found AI-supported mammography increased cancer detection by 29% while cutting radiologists' workload by 44%, without more false positives.