**Executive Summary**
The Ministry of Health and Family Welfare is leveraging AI to improve public health services. AIIMS Delhi, PGIMER Chandigarh, and AIIMS Rishikesh are designated as Centres of Excellence to promote AI solutions in healthcare. Several AI solutions have been implemented, including MadhuNetrAI for diabetic retinopathy screening and CDSS AI for e-Sanjeevani tele-consultations, since April 2023. The “Cough Against TB” AI solution enhances pulmonary TB Screening since March 2023.
**Key Points / Main Content**
* **Centres of Excellence:**
* AIIMS Delhi, PGIMER Chandigarh, and AIIMS Rishikesh are designated as Centres of Excellence for AI.
* Aim to promote the development and adoption of AI-based solutions in healthcare.
* **Collaborations:**
* The Ministry has collaborated with key organizations to accelerate healthcare AI innovations.
* **AI Solutions Implemented:**
* **MadhuNetrAI:**
* AI solution for diabetic retinopathy screening by non-specialist health workers.
* Implemented in 38 facilities across 11 states.
* Screened 14,000 retinal images, benefiting 7,100 patients.
* **CDSS AI in eSanjeevani:**
* Enhances the quality of tele-consultations.
* Benefitted 282 million consultations through standardized data capture since April 2023.
* **"Cough Against TB":**
* Enhances pulmonary TB screening.
* Achieved a 12-16% additional case yield.
* Screened over 1.62 lakh individuals since March 2023.
* **Compliance:**
* Strict adherence to applicable standards and government policies.
**Impact Analysis**
**Stakeholder: Non-Specialist Health Workers**
* **Impact:** Empowered to conduct AI-enabled diabetic retinopathy screening using MadhuNetrAI.
* **Action Required:** Utilize MadhuNetrAI to screen patients for diabetic retinopathy.
**Stakeholder: Patients**
* **Impact:** Access to improved healthcare services through AI-driven diagnostic tools and telemedicine.
* **Action Required:** Participate in screenings and tele-consultations to benefit from these AI solutions.
**Stakeholder: Healthcare Facilities**
* **Impact:** Enhanced diagnostic capabilities and improved quality of tele-consultations through the implementation of AI solutions.
* **Action Required:** Integrate AI-based tools like MadhuNetrAI and CDSS AI into their workflows.
Key Entities Referenced
Ministry of Health and Family Welfare: The ministry leveraging AI for public health services and designating Centres of Excellence.
AIIMS Delhi, PGIMER Chandigarh, AIIMS Rishikesh: Designated as Centres of Excellence for Artificial Intelligence in healthcare.
eSanjeevani: National telemedicine platform integrated with AI-based solutions like CDSS.
Digital Personal Data Protection Act 2023: Referenced legislation related to data protection influencing AI implementation.
Cough against TB: AI solution used for screening pulmonary TB in the community.
Ministry of Health and Family Welfare
Steps taken to include AI-based diagnostic tools
in healthcare
AIIMS Delhi, PGIMER Chandigarh and AIIMS Rishikesh
designated as Centres of Excellence for Artificial Intelligence
to promote development and adoption of AI-based solutions
in healthcare
Ministry has collaborated with key organizations to
accelerate healthcare AI innovations, including CDSS in e-
Sanjeevani, Diabetic Retinopathy Detection, and Chest X-ray
Classifier Models
MadhuNetrAI, an AI solution, empowers non-specialist health
workers for AI-enabled Diabetic Retinopathy screening;
implemented in 38 facilities across 11 States, assisting
screening of 14,000 retinal images and benefiting 7,100
Patients
CDSS AI has been integrated into eSanjeevani to enhance
quality of Tele-consultations; benefitting 282 million
consultations through standardized data capture since April
2023
“Cough Against TB” AI solution enhances pulmonary TB
Screening with 12-16% additional case yield; utilized to
screen over 1.62 lakh individuals since March 2023
प्रव तथ: 05 DEC 2025 4:18PM by PIB Delhi
The Ministry of Health and Family Welfare is leveraging artificial intelligence (AI) to drive transformative
change in public health services across India. The Ministry of Health has designated AIIMS Delhi,
PGIMER Chandigarh and AIIMS Rishikesh as ‘Centre of Excellence (CoE) for Artificial Intelligence’
with an aim to promote development and use of AI-based solutions in Health.
The Ministry has collaborated with key organizations such as the Central Tuberculosis Division, National
Centre for Disease Control, CDAC-Mohali, ICMR, MeitY, Ministry of Higher Education, Indian Institute
of Science (IISc), and National Health Systems Resource Centre for a variety of AI projects. The Ministryhas also collaborated with Wadhwani AI to provide technical support to the three COEs. 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.
MadhuNetrAI (DR identification solution) is an AI solution developed to enable non-specialist health
workers to conduct screenings for Diabetic Retinopathy. It automates DR detection by analysing retinal
fundus images using artificial intelligence, ensuring standardized, accessible, and efficient triage. It
classifies DR across standard grades, enabling optimized resource allocation by prioritizing urgent cases
for specialist referral. The solution has been implemented across 38 facilities in 11 states and provided AI
assistance during screening of more than 14,000 retinal images, benefiting 7,100 patients.
The ‘Clinical Decision Support System’ (CDSS) AI solution has been integrated into the national
telemedicine platform, eSanjeevani, to enhance consultation quality by streamlining patient complaints
entry and providing AI-based differential diagnosis recommendations. Since CDSS integration in April
2023 till November 2025, 282 million eSanjeevani consultations have benefited from standardized data
capture, ensuring consistency across health and wellness centres.
Under the Tuberculosis elimination program, ‘Cough against TB’ (CATB) AI solution is used for
screening for pulmonary TB in the community settings. In the deployed geographies, the solution has
shown an additional yield of 12-16% in TB reported, over patient screenings using conventional methods.
Between March 2023 and 30th November 2025, CATB solution has been utilized to screen more than 1.62
lakh individuals.
Strict adherence to applicable standards and government policies, including AI Governance Guidelines by
MeitY, Ethical Guidelines for Application of AI in Biomedical Research and Healthcare by ICMR,
Information Technology Act 2000, Digital Personal Data Protection Act 2023, and Rules framed
thereunder, and Information Security Policy for Healthcare by the Department of Health and Family
Welfare, ensures high operational reliability.
The Union Minister of State for Health and Family Welfare, Shri Prataprao Jadhav, stated this in a
written reply in the Lok Sabha today.
****
SR
HFW/Steps taken to include AI-based diagnostic tools in healthcare/5th December 2025/2
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