Legal and Ethical Considerations of Artificial Intelligence in Medical Imaging in India

Abstract Artificial intelligence is being deployed in radiology faster than the rules and regulations required to govern it. In India, this is further complicated by disparities in access to healthcare and a data protection legal framework that is in a transition phase until it becomes fully operational on May 13, 2027. Understanding these legalities is no longer optional for doctors who are in practice, using AI in the clinic, or participating in the development of AI. This is a narrative review drawing on existing articles, Indian laws, and current national governance frameworks related to the use of AI in medical imaging in India. This review discusses the ethical and legal considerations that come with using AI today. We discuss algorithmic bias, the economic divide that limits AI access, the lack of transparency and explainability of black-box models, the threat to radiology residents from automation bias, and post-deployment model drift. On the legal side, we discuss the requirements of the Digital Personal Data Protection Act, 2023, regarding informed consent and hospitals as data fiduciaries, the classification of AI tools as Software as a Medical Device (SaMD), and Indian governance frameworks, including the Indian Council of Medical Research Ethical Guidelines for AI in Biomedical Research and Healthcare, 2023, and the Strategy for Artificial Intelligence in Healthcare for India (SAHI), 2026. The review concludes with a practical good-practice checklist that gives radiologists an illustrative set of questions to help retain the critical mindset required at each stage of AI adoption. As AI use cases vary by context, specific guidance for your own use case is recommended.

Authors

Institutions

Publication Details

Journal
Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging
Published
2026-08-26
DOI
https://doi.org/10.1055/s-0046-1827766
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Legal and Ethical Considerations of Artificial Intelligence in Medical Imaging in India

Krithika Rangarajan, Devasenathipathy Kandasamy, Dr Vineet Upadhyaya, Vibhav Mithal et al.
Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging
Artificial Intelligence in Healthcare and Education
article

Legal and Ethical Considerations of Artificial Intelligence in Medical Imaging in India

Krithika Rangarajan, Devasenathipathy Kandasamy, Dr Vineet Upadhyaya, Vibhav Mithal, Amit Gupta
article en

Abstract

Abstract Artificial intelligence is being deployed in radiology faster than the rules and regulations required to govern it. In India, this is further complicated by disparities in access to healthcare and a data protection legal framework that is in a transition phase until it becomes fully operational on May 13, 2027. Understanding these legalities is no longer optional for doctors who are in practice, using AI in the clinic, or participating in the development of AI. This is a narrative review drawing on existing articles, Indian laws, and current national governance frameworks related to the use of AI in medical imaging in India. This review discusses the ethical and legal considerations that come with using AI today. We discuss algorithmic bias, the economic divide that limits AI access, the lack of transparency and explainability of black-box models, the threat to radiology residents from automation bias, and post-deployment model drift. On the legal side, we discuss the requirements of the Digital Personal Data Protection Act, 2023, regarding informed consent and hospitals as data fiduciaries, the classification of AI tools as Software as a Medical Device (SaMD), and Indian governance frameworks, including the Indian Council of Medical Research Ethical Guidelines for AI in Biomedical Research and Healthcare, 2023, and the Strategy for Artificial Intelligence in Healthcare for India (SAHI), 2026. The review concludes with a practical good-practice checklist that gives radiologists an illustrative set of questions to help retain the critical mindset required at each stage of AI adoption. As AI use cases vary by context, specific guidance for your own use case is recommended.

Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging
Indian Institute of Technology Madras (IN), DR. B.R.A. Institute Rotary Cancer Hospital (IN), All India Institute of Medical Sciences (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 13%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.