01Why domain specificity matters here
General-purpose models are trained on the distribution of text on the internet. Pediatric neurodevelopment is poorly represented in that distribution, and the parts that are represented skew toward the dramatic and the atypical rather than the ordinary range of development.
A model built on longitudinal records of how children actually develop, and how they respond to intervention, is working from a different and much narrower distribution.
02What it isn't
It is not a diagnostic device, and we don't present it as one. Diagnosis is a clinician's call, made with the child in front of them.
It is also not a substitute for the dataset it rests on. The value is in the longitudinal record itself, which compounds as more children are screened, consulted and monitored over time. The model is a way of reading that record, not a replacement for it.
03Where we think it earns its place
Preparing a case before a consultation so the clinician spends their time on judgement rather than reconstruction. Surfacing changes in a trajectory that are easy to miss between visits spaced months apart. Making a decade of fragmented history legible in the minutes before an appointment.
Those are assistive tasks. They are useful precisely because they sit underneath clinical decisions rather than trying to make them.
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