Role of AI in Healthcare
- Disease Management and Diagnostics: AI is extensively used to overcome specialist shortages and enhance screening capabilities.
- E.g. MadhuNetrAI for diabetes retinal screening
- Telemedicine and Remote Monitoring: AI enhances the reach of medical advice to rural and underserved areas.
- E.g. eSanjeevani CDSS: AI-based differential diagnosis recommendations
- Public Health Surveillance and Nutrition: AI systems are deployed to monitor population health and environmental factors.
- E.g. Media Disease Surveillance (MDS): Early warnings based on AI scans national digital news sources for symptom clusters
- Administrative Efficiency and Fraud Detection: AI streamlines healthcare administration and ensures the integrity of government schemes.
- Record Management: Tools like Eka Doc and Sunoh.Ai use AI and Natural Language Processing (NLP) to summarize patient records
Challenges: Algorithmic bias may affect underrepresented populations, digital divide, accuracy and reliability of AI diagnostics, data security, etc.
Other AI initiatives in Healthcare and Outcomes
