https://store-images.s-microsoft.com/image/apps.51478.6fd3462f-b1d7-4119-ba6f-9d2db49a82dd.a07499c9-9a2a-4197-ae9c-b0600a1ffc8d.b07a7d39-f7d7-4ae8-972e-799a436ba967

Apollo Hospitals AICOPD

by Apollo Hospitals Enterprise Ltd

An AI-based Risk Score (AICOPD) to predict acute exacerbations of asthma and COPD-related events.

  • 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 the global/holistic risk for patients developing acute exacerbations of asthma or COPD-related events in the next 90 days.
  • Risk Identification and Prevention: This risk assessment tool is not to be used for the diagnosis of chronic obstructive pulmonary disease or asthma. Its limitations include use in pediatric asthma and is currently under treatment.
  • Where to Use: This risk assessment tool has been prepared for use in preventive pulmonary screening programs at outpatient clinics, emergency rooms, and health check clinics specifically looking at chronic obstructive pulmonary disease.

At a glance

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https://store-images.s-microsoft.com/image/apps.19296.6fd3462f-b1d7-4119-ba6f-9d2db49a82dd.bfb51f60-a443-4bf2-b125-9e0c3cabfa17.9cb02354-eb19-497c-9894-a40a104c604f
https://store-images.s-microsoft.com/image/apps.41333.6fd3462f-b1d7-4119-ba6f-9d2db49a82dd.bfb51f60-a443-4bf2-b125-9e0c3cabfa17.70aba6b2-1897-4a87-8c89-4239005e5c34
https://store-images.s-microsoft.com/image/apps.14347.6fd3462f-b1d7-4119-ba6f-9d2db49a82dd.bfb51f60-a443-4bf2-b125-9e0c3cabfa17.346d0204-fe08-40a8-9151-2f89e5f2215c
https://store-images.s-microsoft.com/image/apps.13308.6fd3462f-b1d7-4119-ba6f-9d2db49a82dd.bfb51f60-a443-4bf2-b125-9e0c3cabfa17.3ba4ccf1-28cc-4aeb-9d59-6f7265977e55