AI used as a second reader on mammograms improves cancer detection rates compared to radiologists alone.
Key Details
- 1Published in Lancet Digital Health: AI second reader outperforms radiologists in cancer detection.
- 2Study analyzed over 40,000 2D mammograms retrospectively with AI (Transpara 1.7.0).
- 3AI particularly increased sensitivity for detecting interval cancers, which are often more aggressive.
- 4Retrospective review included four years of follow-up cancer diagnoses.
- 520–30% of detected malignancies were retrospectively visible on prior mammograms but missed initially.
Why It Matters
This large-scale, peer-reviewed study underscores AI's promise to enhance accuracy in breast cancer screening. Improved detection, especially for aggressive interval cancers, could lead to earlier treatment and better patient outcomes.
Source
Health Imaging
Related News
•AI in Healthcare
Landmark AI Mammography Trial and CMS Launches AI Prior Authorization Pilot
New large randomized trial to test AI in mammography screening, while CMS launches a multi-state pilot using AI for Medicare prior authorizations.
•AuntMinnie
AI for Breast Cancer Screening Not Cost-Effective, Study Finds
AI-assisted breast cancer screening showed minor clinical benefits over DBT alone but was not cost-effective at standard willingness-to-pay thresholds.
•AuntMinnie
AI Device Manufacturers Paid $39.7M for Radiology Between 2017–2023
AI/ML-enabled medical device firms paid $39.7 million for radiology devices from 2017–2023, raising transparency concerns.