Precoh RegOS — Interactive Demo

Step 01

AI Model Intake

Submit a clinical AI model for regulatory evaluation. RegOS structures intake data into a standardized, traceable record.

Load a scenario:

Model Name

Version

Model Type

Risk Classification

Intended Clinical Use

Developer / Submitting Entity

Submission Date

Training Data Declaration

De-identified patient data used IRB approval obtained Bias assessment completed External validation dataset included

Step 02

RegOS runs structured validation checks across five regulatory domains. Each check is traceable and reproducible.

Step 03

Automated risk assessment across regulatory dimensions, weighted by clinical impact and data quality.

Step 04

RegOS generates a structured, defensible decision record based on the evaluation evidence.

Step 05

Every step is captured in a structured evidence package — reproducible, exportable, and submission-ready.