A machine learning model developed using Indian data demonstrates higher accuracy compared to conventional risk scores.
Feedback Loop from the prospective use in patients
Comprehensive & Holistic Risk Assessment
Validated at different National Institutions
Integrated Clinical Decision Support Tool (What Next to Do)
QMS: ISO 13485:2016 Certified, MDSAP Certification (In process)

Interpretation & Adoption Message

AI Algorithm + Clinicians— This risk assessment tool has been built as an adjunct tool for physicians to identify global/holistic risks for patients developing Prediabetes.
Risk Identification and Prevention—This Risk Assessment Tool stratifies the individuals based on the risk of developing prediabetes. It is not intended for the diagnosis of prediabetes or Diabetes mellitus. Its limitations include already-diagnosed Diabetic patients undergoing treatment.
Where to use— This Risk Assessment tool has been designed for use in Preventive Health Screening programs at Outpatient Clinics and Health Check Clinics.

Apollo Hospitals Prediabetes AI

by Apollo Hospitals Enterprise Ltd