Clinical AI you can verify.
Roshan AI builds clinical-grade models that surface the concepts and evidence behind every prediction.
See the evidence behind the output.
Start with the note.
“progressive dyspnea on exertion and orthopnea,” with “bilateral lower-extremity edema” and “BNP 1850” captured as clinically relevant signals.
Progressive dyspnea and orthopnea, with bilateral lower-extremity edema and elevated BNP.
Clinical reasoning console
Progressive dyspnea and orthopnea, with bilateral lower-extremity edema and elevated BNP.
Illustrative example. No patient data.
Accuracy you can audit.
Every ICD-10 code, every prediction traced to clinical concepts.
The product line compounds on one clinical core.
Clinical ingestion
Notes and signals in.
Concept grounding
Mapped to named clinical concepts.
Evidence-backed output
Predictions out, evidence attached.
- ShifaMindLive
Concept-grounded ICD-10 coding
- NabzScaling
Model family for ICU signal streams
- Next productsPlanned
More workflows on the same core
Build with Roshan AI.
Pilot ShifaMind, integrate the API, or talk to us about your clinical workflow.