International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 3 (May-June 2026) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

A CRITICAL REVIEW OF AI IN HEALTHCARE FROM AN INDIAN PERSPECTIVE

Author(s) Ms. Shanu Singh Chouhan, Prof. Dr. Manish Yadav
Country India
Abstract India’s AI development is still in its infancy, and the country lacks a regulatory body dedicated to the technology exclusively. Notwithstanding, the Indian government has recently initiated several initiatives pertaining to artificial intelligence, such as the establishment of the Artificial Intelligence Task Force, the National Strategy for Artificial Intelligence #AIFORALL by NITI Aayog, the establishment of four AI committees under the Ministry of Electronics and Information Technology, and others. Tamil Nadu’s Safe and Ethical Artificial Intelligence Policy 2020 and Face Recognition Attendance System, West Bengal’s AI-Powered System for Monitoring Driving Behavior, Maharashtra’s AI System to Combat Agricultural Risks, Karnataka’s creation of the Centre of Excellence for Data Science and Artificial Intelligence (CoE-DS&AI), and other state governments in India have also taken action. Like any other technology, artificial intelligence has both advantages and disadvantages. Mining medical records, creating treatment plans, predicting health occurrences, helping with repetitive activities, conducting online consultations, supporting clinical decision-making, managing prescriptions, creating novel pharmaceuticals, assisting individuals in making healthier decisions, and addressing public health issues are just a few of the many tasks for which artificial intelligence (AI) may prove beneficial in the healthcare sector. In order to use AI systems effectively, handle sensitive health data with care, and stop data theft, staff training is necessary when implementing AI-based healthcare. Additionally, it is imperative that healthcare decisions based on AI solutions be explicable and supported by logic.
Keywords Artificial Intelligence, healthcare, government policies, initiatives, AI-based healthcare.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-06-06
DOI https://doi.org/10.36948/ijfmr.2026.v08i03.80529

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