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REVIEW article

Front. Artif. Intell.
Sec. Medicine and Public Health
Volume 7 - 2024 | doi: 10.3389/frai.2024.1372161

Evolving Intellectual Property Landscape for AI-Driven Innovations in the Biomedical Sector: Opportunities in Stable IP Regime for Shared Success

Provisionally accepted
Abhijit Poddar Abhijit Poddar 1,2*S R. Rao S R. Rao 2,3
  • 1 Mahatma Gandhi Medical College and Research Institute, Puducherry, India
  • 2 Other, Pondicherry, India
  • 3 Sri Balaji Vidyapeeth University, Puducherry, Puducherry, India

The final, formatted version of the article will be published soon.

    Artificial Intelligence (AI) has revolutionized the biomedical sector in advanced diagnosis, treatment, and personalized medicine. While these AI-driven innovations promise vast benefits for patients and service providers, they also raise complex intellectual property (IP) challenges due to the inherent nature of AI technology. In this review, we discussed the multifaceted impact of AI on IP within the biomedical sector, exploring implications in areas like drug research and discovery, personalized medicine, and medical diagnostics. We dissect critical issues surrounding AI inventorship, patent and copyright protection for AI-generated works, data ownership, and licensing. To provide context, we analyzed the current IP legislative landscape in the USA, EU, China, and India, highlighting convergences, divergences, and precedent-setting cases relevant to the biomedical sector. Recognizing the need for harmonization, we reviewed current developments and discussed a way forward. We advocate for a collaborative approach, convening policymakers, clinicians, researchers, industry players, legal professionals, and patient advocates to navigate this dynamic landscape. It will create a stable IP regime and unlock the full potential of AI for enhanced healthcare delivery and improved patient outcomes.

    Keywords: artificial intelligence, Intellectual Property, Biomedical sector, AI inventorship, Copyright, patent, Laws

    Received: 22 Jan 2024; Accepted: 02 Sep 2024.

    Copyright: © 2024 Poddar and Rao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Abhijit Poddar, Mahatma Gandhi Medical College and Research Institute, Puducherry, India

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.