
A modified AI tool can autonomously triage prostate MRI scans, decreasing radiologists' workload by up to 20%.
Key Details
- 1Prostate MRI use is rising due to better cancer detection and reduced need for biopsies.
- 2Radiologist workloads are increasing, especially for serial MRI follow-ups.
- 3Researchers adjusted an established AI algorithm for prostate MRI by adding uncertainty quantification (UQ) thresholds.
- 4AI can now 'rule out' low-uncertainty cases autonomously, sending only uncertain cases to radiologists.
- 5This new workflow led to a 20% reduction in the number of cases radiologists have to interpret.
Why It Matters

Source
Health Imaging
Related News

Deep Learning AI Outperforms Radiologists in Detecting ENE on CT
A deep learning tool, DeepENE, exceeded radiologist performance in identifying lymph node extranodal extension in head and neck cancers using preoperative CT scans.

Patients Favor AI in Imaging Diagnostics, Hesitate on Triage Use
Survey finds most patients support AI in diagnostic imaging but are reluctant about its use in triage decisions.

AI Projected to Reshape Radiologist Workload But Not Eliminate Jobs
Stanford researchers predict AI could reduce radiologist hours by up to 49% over the next five years, though workforce size is likely to remain stable due to rising imaging demand.