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POLICY TO PRACTICE: REGULATORY READINESS FOR AI-DRIVEN HEALTHCARE RESEARCH IN INDIA

AUTHORS:
Dr. Mukta Bhosale
Mentor
Affiliation
Kaveri College of Arts, Science and Commerce, Pune
DOI: 10.55041/ijsmt.v2i4.117
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract

Artificial Intelligence (AI) has emerged as a transformative technology in healthcare research, enabling improved disease prediction, automated diagnostics, personalized treatment planning and biomedical discoveries. AI-based tools have demonstrated significant potential in analyzing large datasets, identifying patterns in clinical records and improving research efficiency (Topol, 2019).

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Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 04
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Apr 10 2026
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Bhosale, M. (2026). Policy to Practice: Regulatory Readiness for AI-Driven Healthcare Research in India. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.117

Bhosale, Mukta. "Policy to Practice: Regulatory Readiness for AI-Driven Healthcare Research in India." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.117.

Bhosale, Mukta. "Policy to Practice: Regulatory Readiness for AI-Driven Healthcare Research in India." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.117.

References
1.Alon, S., & Shoham, S. (2024). The role of responsibility in AI-assisted medicine: Legal and ethical implications. Journal of Law, Medicine & Ethics, 52(2), 408–423.

2.Baker, S., & Xiang, W. (2023). Explainable AI is Responsible AI: How Explainability Creates Trustworthy and Socially Responsible Artificial Intelligence. ArXiv. https://arxiv.org/abs/2312.01555

3.Bharati, R. (2024). Artificial intelligence: Legal and regulatory challenges in India. YMER Digital. https://ymerdigital.com/uploads/YMER230787.pdf

4.Bharati, R. (2024). Regulation of artificial intelligence in India: Difficulties and factors to be considered. ResearchGate. https://www.researchgate.net/publication/384546715_Regulation_of_Artificial_Intelligence_in_India_Difficulties_and_Factors_to_be_Considered

5.Bhattacharya, S., Singh, A., & Hossain, M. (2020). Digital health governance in India: Policy and regulatory perspectives. Health Policy and Technology, 9(4), 100–110.

6.Brey, P. (2012). Anticipatory ethics for emerging technologies. NanoEthics, 6(1), 1–13.

7.Centre for Internet and Society. (n.d.). AI in India: A policy agenda. https://cis-india.org/internetgovernance/files/ai-in-india-a-policy-agenda

8.Chatterjee, P. (2015). India plans National eHealth Authority. The Lancet, 386(10011), 2245–2246.

9.Chatterjee, S. and Dohan, M. S. (2021). Artificial Intelligence for Healthcare in India. International Journal of Healthcare Information Systems and Informatics, 16(4), 1-11. https://doi.org/10.4018/ijhisi.20211001.oa17

10.Chaudhuri, S., et al. (2020b). Legal and regulatory framework for e-health in India. Journal of Health Management, 22(3), 1–12.
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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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