AI assistance significantly improves radiologists' accuracy in detecting clinically significant prostate cancer on prostate MRI, according to a large international multi-reader study.
Key Details
- 1Study published June 13 in JAMA Network Open evaluating AI in prostate MRI diagnosis.
- 261 readers from 53 centers in 17 countries participated (34 experts, 27 nonexperts).
- 3AI assistance increased ROC AUC by 3.3% (from 0.882 to 0.916).
- 4Sensitivity improved by 2.5% (from 94.3% to 96.8%), specificity increased by 3.4% (from 46.7% to 50.1%).
- 5Nonexperts saw higher gains (sensitivity +3.7%) than experts (+1.5%).
- 6Readers used data from the PI-CAI Challenge; results suggest AI reduces interreader variability.
Why It Matters
This robust evidence supports the value of AI in improving prostate cancer detection on MRI, especially for less experienced readers, and reinforces ongoing efforts to integrate AI into clinical radiology workflows.
Source
AuntMinnie
Related News
•Radiology Business
Stanford Pilots AI Tool for Explaining Imaging Results to Providers
Stanford Health Care reports primary care providers find value in AI tools generating imaging result explanations.
•AI in Healthcare
Literature Review Highlights Gaps in Economic Evaluation of Healthcare AI
A Finnish review finds significant gaps in economic evaluation reporting of AI technologies in Western healthcare.
•AI in Healthcare
Economic Evaluations of AI in Healthcare Face Major Gaps
A Finnish review finds significant deficiencies in how studies evaluate and report the economic impact of healthcare AI.