Real-world examples of how research teams use Fabrica to build physician-annotated datasets for clinical AI.
How a single urologist's cognitive mapping became the ground truth for an AI model — and what multi-reader annotation infrastructure would change.
How 3,984 patients produced only 72 physician rationales — and what that reveals about the infrastructure gap for evaluating whether AI actually reasons like a doctor.
How a classification system designed for surgery is proving that expert knowledge in pelvic MRI can be codified — and why AI segmentation still can't use it at scale.