Licensed clinicians review your model’s real outputs and show you where it’s right, where it fails, and what it critically missed.
Most medical AI ships on trust. A validation set that looks nothing like the clinic will not survive a hospital, a regulator, or an investor asking how you know it is right.
A licensed clinician reviews every output and tells you three things.
Every output confirmed or rejected against a clinician’s read.
Where the model is wrong, the clinician’s correct read — not just a flag.
The dangerous cases: findings a clinician catches and the model did not.
Accuracy, precision and recall per finding, a confusion matrix, and every failure named — measured on the reviewed sample.
Wherever your model touches medicine, a licensed specialist can evaluate it.
Notes, extraction, and coding.
X-ray, CT, and MRI review.
Whole-slide and histology.
Output evaluation and RLHF.
Genomic and multi-omic annotation.
Redaction and PHI review.
Licensed clinicians conduct structured, case-by-case review — built so the result holds up.
Every case is reviewed by a licensed clinician as a structured expert assessment, one case at a time. Not crowd labelers, and not a model grading a model.
Each case gets a structured, multi-dimension assessment. Data is de-identified and isolated per client, and every review is recorded — who reviewed what, and when.
How the data is handled separates a defensible result from a liability. Built for medical data, not crowdsourced.
Medical specialists review your data, not a crowd.
Identifiers stripped before anyone sees a case.
Your data walled off from every other client’s.
Every review logged: who, what, and when.
Start small. See the value before you commit to volume.
A sample of your data and your model’s predictions.
Licensed specialists assess each case, de-identified and isolated.
A performance breakdown you can act on and show.
Start with a pilot. See where your model is right, where it fails, and what it missed.