A Second Opinion, Not a Replacement

In actual clinical use, a diagnosis-assist model sits alongside a radiologist or physician, not in place of one. It reviews the same scan or the same chart, surfaces cases it thinks deserve a closer look, and the clinician makes the actual call — the model is there to catch what a tired reviewer on their fortieth case of the day might miss, not to remove the reviewer.

Underneath the alert a doctor sees, the model itself never outputs “yes” or “no.” It outputs a number between 0 and 1 — its estimate of how likely this case is to be positive, based on everything similar it has seen before. Something has to turn that number into an actual flag, and that something is a threshold, chosen in advance by the people who built and deployed the system.

Move the slider below across forty simulated cases and watch what happens. Lower the threshold and more true cases get caught — but more healthy cases get flagged too, each one a false alarm that costs a clinician's time and a patient's anxiety on a follow-up that finds nothing. Raise it and false alarms drop — at the direct cost of missing real cases that scored just under the line.