Clinical intelligence
Raw scans to a clinical report
Shipped for A clinical-intelligence company · led by Nikhil Bery
01
The problem
Raw medical PDFs had to become standardized, professionally formatted health reports a clinician could trust.
02
The constraint
The output is a health report a clinician has to trust, so raw PDFs had to become standardized and correctly coded, not just reformatted.
03
The system
An end-to-end pipeline of 20+ specialized medical agents with biomarker extraction and clinical-code standardization across 100,000+ codes, multi-model vision processing, deployed on GCP.
FIG. 01 · SYSTEM FLOW · 6 NODES · 6 FLOWS
04
The human in the loop
These are clinical reports, so a clinician reviews and signs off before anything informs care. The pipeline standardizes and formats the record; it does not practice medicine.
05
The outcome
20+ production medical agents and 100,000+ clinical codes standardized, taking a raw PDF to a formatted report end to end.