9 months ago
AI Tools Enhance TB, Diabetes Care in India
The Indian government is using artificial intelligence (AI) to improve healthcare for tuberculosis (TB) and diabetes.
They have set up special centers at AIIMS Delhi, PGIMER Chandigarh, and AIIMS Rishikesh to develop and use AI tools.
One tool, called MadhuNetrAI, helps detect a diabetes-related eye problem called Diabetic Retinopathy by looking at pictures of the retina.
This tool has been used in 38 places across 11 states and has helped over 7,100 patients.
Another tool, 'Cough against TB,' helps find TB in the community and has screened over 1.62 lakh people.
There's also a tool called CDSS that helps doctors make better decisions during online consultations.
The government is making sure these tools follow all the necessary rules and guidelines to keep everything safe and reliable.
The Indian government is using AI to improve healthcare for TB and diabetes.
AIIMS Delhi, PGIMER Chandigarh, and AIIMS Rishikesh are designated as Centers of Excellence for AI in healthcare.
MadhuNetrAI, an AI tool, helps detect Diabetic Retinopathy and has benefited over 7,100 patients across 38 facilities in 11 states.
The 'Cough against TB' AI solution has screened over 1.62 lakh individuals, showing a 12-16% additional yield in TB detection.
The Clinical Decision Support System (CDSS) AI tool has been integrated into the eSanjeevani telemedicine platform, benefiting 282 million consultations.
- Who
- Government of India, Ministry of Health, Union Minister of State for Health and Family Welfare Prataprao Jadhav
- What
- Implementation of AI-based diagnostic tools for TB and diabetes care
- Where
- India, across 38 facilities in 11 states for diabetes, and community settings for TB
- When
- March 2023 - November 2025
- Why
- To drive transformative change in public health services and tackle the burden of tuberculosis and diabetes
Key facts
- AI Solutions Developed
- Clinical Decision Support System (CDSS), Diabetic Retinopathy (DR) identification solution, Abnormal Chest X-ray Classifier Model
- Centers of Excellence for AI
- AIIMS Delhi, PGIMER Chandigarh, AIIMS Rishikesh
- MadhuNetrAI Implementation
- 38 facilities in 11 states, 14,000 retinal images screened, 7,100 patients benefited
- Cough against TB (CATB) Solution
- 12-16% additional TB yield, 1.62 lakh individuals screened (March 2023 - November 2025)
- CDSS Integration in eSanjeevani
- 282 million consultations benefited (April 2023 - November 2025)
- Regulatory Compliance
- AI Governance Guidelines by MeitY, Ethical Guidelines for AI in Healthcare by ICMR, Information Technology Act 2000, Digital Personal Data Protection Act 2023, Information Security Policy for Healthcare
Quotes
Prataprao Jadhav
Union Minister of State for Health and Family Welfare
“The Ministry has developed AI solutions, including the Clinical Decision Support System (CDSS) in e-Sanjeevani, a Diabetic Retinopathy (DR identification solution), and the Abnormal Chest X-ray Classifier Model, among others.”
thehansindia.com
“Since CDSS integration in April 2023 till November 2025, 282 million eSanjeevani consultations have benefited from standardised data capture, ensuring consistency across health and wellness centres.”
thehansindia.com
Sources
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