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The Role of Artificial Intelligence in Healthcare: Transforming Diagnostics and Treatment in India (2020–2025)

2026·0 Zitationen·Zenodo (CERN European Organization for Nuclear Research)Open Access
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0

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4

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2026

Jahr

Abstract

The fast use of Artificial Intelligence (AI) in healthcare is helping India deal with big problems like not enough doctors, slow diagnosis, and unequal access to good medical care. This study looks at how AI has changed the way doctors diagnose and treat patients in India from 2020 to 2025. The research uses a mix of methods, looking at existing information from NITI Aayog's National Strategy for AI, NASSCOM reports, Adam Bohr & Kaveh Memarzadeh (2020), WHO guides, and examples of Indian AI solutions like Qure.ai, Apollo Hospitals' AI tools, Google-Aravind eye screening, and Wysa for mental health support. The study also collected data from 70 people, including medical students, doctors, and patients, to understand how aware they are and how much they trust AI. The results show that AI tools for diagnosis are very accurate, getting 90 to 97 percent correct in finding tuberculosis, stroke, and diabetic retinopathy from chest X-rays and eye images, cutting down the time needed for diagnosis from hours to seconds. In treatment, AI is speeding up drug discovery and creating personalized care plans, which helps patients recover faster. Mental health chatbots like Wysa are making affordable care available even in remote areas. But there are still issues like worries about keeping patient data safe, AI tools being unfair to some groups, high costs of starting AI systems, and not enough internet or tech in smaller cities. The study states that the responsible and strategic use of AI, supported by the Ayushman Bharat Digital Mission and AI governance policies, can help bridge healthcare gaps in India. By improving diagnostics, therapeutics,and telemedicine, AI can accelerate progress toward Universal Health Coverage. The study also stresses workforce training, ethical safeguards, regulatory clarity, and government–private partnerships to ensure fair, and unbiased AI adoption for achieving UHC by 2030.

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