AI History & Diagnosis
Reads the patient's whole record — visits, labs, vitals, meds — and surfaces suspected conditions with ICD-10.
Before the doctor sees the patient, InZob reviews their entire record — the last 30 timeline events plus every parsed lab and prescription — builds a longitudinal picture of what's improving or worsening, and surfaces suspected conditions with ICD-10 codes and a confidence score. It is clinical decision support: always doctor-reviewed, citation-grounded, and downgraded to "review manually" when the evidence is thin — never an autonomous diagnosis.
Reads the full record
Last 30 visits plus every parsed lab and prescription, merged into one picture.
Suspected conditions + ICD-10
Each with a confidence score and a transparent reasoning chain.
Doctor-reviewed
Guardrailed and cited; defers to the doctor when evidence is thin.
How it works
The patient's timeline, labs & vitals are compiled
A longitudinal trend is built deterministically
AI reasons over it to suspect conditions (ICD-10)
The doctor reviews the cited reasoning and confirms
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