Answers are grounded in this paper and cite their sources.
An AI model reads an MRI scan and gives an answer, but today we usually see only the answer. This note describes a simple check that can sit on top of any such model. From one MRI scan, several versions are made by changing the settings that the MRI instrument itself allows, within the range it permits. The model reads every version. If the answers stay together, the scan supports the answer firmly. If they spread out, the answer depends on a setting and deserves a closer look. Other methods shake the image with invented changes, such as flips, rotations, changed pixel brightness or artificial noise. This method uses the settings the MRI instrument itself allows, so the uncertainty it measures is real. One number, the spread value, tells which case it is. A computer-decided shunting action then moves the scan that needs care to a side list, while all other scans carry on. The words used for the patient stay calm. It needs only one MRI scan, no second visit and no new device, and the model itself is not changed. Patent pending.
No takes yet. Share an insight, caveat, or question.
Prakash Vaithyanathan (2026) studied this question.
Synapse has enriched 8 closely related papers on similar clinical questions. Consider them for comparative context: