AI Innovations in Indian Healthcare

Summary of TANUH and Its Impact on Healthcare in India

Overview of TANUH

• Full Name: Translational AI for Networked Universal Healthcare (TANUH)
• Type: Non-profit AI Centre of Excellence in Healthcare
• Location: Indian Institute of Science (IISc), Bengaluru
• Focus: Development of AI-driven diagnostics and decision-support tools for early detection and management of non-communicable diseases (NCDs) in India.
• Government Initiative: Established in response to the Indian Government's recognition of sector-specific AI solutions for scaling healthcare.

Non-Communicable Diseases (NCDs) in India

• Burden: Approximately 70% of India's disease burden is attributed to NCDs.
• Target Cancers: Focus on oral cancer and breast cancer, which require population-level screening as identified by WHO.

Key Achievements and Tools

1. Aarogya Aarohan:

   • AI solution for oral cancer screening.
   • Over 70,000 patients screened, identifying pre-cancerous lesions.
   • High-incidence regions identified include Varanasi, Mathura, Dakshina Kannada, and Thanjavur.

2. Breast Cancer Risk Stratification Tool:

   • Tailored for Indian demographics, identifying high-risk women for earlier mammogram screenings.
   • Accuracy Rate: 83% for predictions; Negative Predictive Value (NPV) at 97%.
   • Estimated 20 crore women over 40, but only 3,500 mammogram machines available, limiting access.

3. Retinal Vascular Screening:

   • Utilizes a handheld camera for non-invasive imaging to detect diabetes and cardiovascular diseases.
   • Streamlining of disease identification and referral processes.

4. AI-based Anti-Fraud Tool for PM-JAY:

   • Aims to reduce fraudulent claims relating to dialysis in health insurance schemes.

5. Gestational Diabetes Predictive Tool:

   • Developed to predict risks within the first 14 weeks of pregnancy, addressing rising diagnoses among pregnant women.

6. IndiNeuroFM:

   • Building an AI-based Digital Public Infrastructure for neurological healthcare focusing on India-specific conditions (e.g., neuro TB).
   • Ensures data analysis from Indian brain scans considers local disease patterns.

Supporting Platforms and Infrastructure

• Benchmarking Open Data Platform for Healthcare (BODH):

  • A national platform for testing healthcare AI models on Indian datasets.
  • Hosted by the Ministry of Health.

• SAMVIT:

  • Provides infrastructure to deploy and scale AI screening programs by community health workers.
  • Represents a Digital Public Infrastructure initiative, open to innovators and startups in healthcare solutions.

Partnerships and Collaborations

• Collaborates with various entities including:
  • Ministry of Education
  • National Health Authority
  • Ministry of Health
  • ICMR Institutes
  • State health departments and clinical research organizations.

Conclusion

TANUH aims to revolutionize healthcare delivery in India by leveraging AI to address critical health challenges effectively. The initiatives reflect a strategic approach towards managing the growing burden of non-communicable diseases, enhancing diagnostic capabilities, and creating robust digital infrastructures that support universal healthcare access. The ongoing innovations signify a national effort to improve health outcomes and integrate advanced technology within the Indian healthcare framework.