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How is AI being used in healthcare in India?
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AI is already helping Indian healthcare in practical ways, especially where there are too few specialists.
Common uses:
- Reading scans: AI tools can flag possible problems in chest X-rays, CT scans and mammograms, helping radiologists prioritise urgent cases.
- TB screening: AI-assisted chest X-ray screening is used to find tuberculosis cases faster in programmes across India.
- Eye screening: AI can detect diabetic retinopathy from photos of the retina, so screening can happen at local clinics without an eye specialist present.
- Cancer screening: tools for oral, breast and cervical cancer screening in community settings.
- Language and records: AI can help doctors write notes, summarise records and translate advice into regional languages.
- Telemedicine support for platforms like eSanjeevani (see telemedicine in India).
Limits and cautions:
- AI supports doctors; it does not replace them. Final decisions should rest with qualified professionals.
- Models trained on foreign data may perform worse on Indian patients.
- Patient privacy must be protected under the data protection law.
- Patients should be wary of chatbot medical advice and of fake AI ads. Regulators have acted on this, as covered in the NMC ban on AI testimonials.