What clinicians actually need from AI tools

The most common mistake in clinical AI is building for the model instead of the user. A tool can be accurate and still useless if it does not fit the few minutes a clinician has with a patient.

From building EASY Diabetes, the pattern is clear. Clinicians need recommendations that are individualized, safe, and explainable; that arrive inside the existing workflow rather than in a separate system; and that are backed by evidence they can point to. They do not need another dashboard.

Design for the clinician's day, prove the tool helps, and adoption follows. Skip that, and even a brilliant model gathers dust.