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Research Article Open access CC BY 4.0

AI-driven Innovations in the Indian Healthcare System: An Update (2025)

Srivarshan M, Gokila.S

Journal of Engineering Research and Reports · pp. 38–47 · Published 22 Sep 2025

10.9734/jerr/2025/v27i101653

Abstract

AI shines like a ray of hope. AI, which is powered by enormous medical data, makes a richer picture of one's own health. AI is transforming the Indian healthcare system by enabling early disease detection, personalised treatment, and operational efficiency. Artificial Intelligence (AI) is revolutionising the Indian healthcare system by enabling early disease detection, personalised treatment, and operational efficiency. The review aims to investigate AI-driven innovations in the Indian Healthcare System. With India's vast population, shortage of healthcare professionals, and limited resources, AI offers innovative solutions to bridge the healthcare gap, particularly in rural and underserved areas. AI can identify latent cancers and tuberculosis early, save lives, and screen populations to detect risk factors and forecast outbreaks. It can also tailor healthcare based on a patient's lifestyle and medical history, optimising treatment effectiveness and reducing side effects. However, AI faces challenges such as data privacy, robust infrastructure, and biased algorithms. AI integrated with mobile-based diagnostic kits helps Acculi Labs and similar startups deliver affordable healthcare in rural India. AI-powered portable devices can test blood, detect infections, and recommend treatments even without specialised doctors. India, as a healthy tech ecosystem, can address these issues by investing in AI research, building data infrastructure, and setting up ethical frameworks. AI applications in healthcare include early diagnosis, screening, treatment, and rehabilitation. With a population of over 1.4 billion and increasing mobile and internet penetration, India can emerge as a global leader in AI-driven healthcare innovation if these challenges are systematically addressed.

Healthcare system artificial intelligence forecasting outbreaks machine learning

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