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.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 3
May-June 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Legal And Ethical Challenges Of AI Based Diagnostics In India

Author(s) Ms. VARSHINI B, Ms. Satya Sanjana G.R
Country India
Abstract The rapid development and use of Artificial Intelligence (AI) in the diagnostic processes in India signify advancements in healthcare efficacy, efficiency, and accessibility. However, this is overshadowed by the legal and ethical ambiguities regarding liability and accountability when diagnostic errors occur. This research paper investigates the challenge of assigning responsibility within the multi-stakeholder ecosystem of AI-based diagnostics. Developers, healthcare providers, regulators, data fiduciaries and patients are just few of the parties involved. Traditionally, the Consumer Protection Act, 2019, places liability on the healthcare providers and institutions for medical negligence, but if AI makes a wrong diagnosis, who is liable? The doctor, the AI developer, or the hospital?
Through a review of existing legal frameworks this research paper highlights the lack of specific regulatory frameworks and suggests solutions to bridge the gap. Current laws are incapable of accurately assigning responsibility when developers, data fiduciaries, clinicians, and AI algorithms collectively contribute to a diagnostic outcome.This paper provides an analysis of current and emerging cyber laws and proposes an adaptive legal framework that combines patient data protection with AI diagnostic liability, clearly outlining the roles and responsibilities of all the parties involved, while taking into account the opacity of AI systems.
Keywords Artificial Intelligence(AI), Medical Diagnostics, Healthcare Liability, Accountability Medical Negligence, AI Ethics, Data Protection, Regulatory Gaps
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-11-17
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.60926
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 3Cover Page Vol 8 Isu 2Cover Page Vol 8 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals