Bridging the Gap: Integrating AI into Medical Education, Research, and Clinical Practice

Parthiban Raja  lowast; Sangeeta M; Shruthi N S

doi:10.58739/jcbs/v15i2.editorial

Article

Bridging the Gap: Integrating AI into Medical Education, Research, and Clinical Practice

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Journal of Clinical and Biomedical Sciences

DOI: 10.58739/jcbs/v15i2.editorial

Year: 2025, Volume: 15, Issue: 2, Pages: 67-68

Editoriall

Bridging the Gap: Integrating AI into Medical Education, Research, and Clinical Practice

Parthiban Raja^1∗, Sangeeta M², Shruthi N S³

¹Professor & Head, Department of Pathology,, MVJ Medical College & Research Hospital, Hoskote, Bangalore, 562114, Karnataka
²Professor & Head & MEU Convenor, Department of Anatomy, MVJ Medical College & Research Hospital, Hoskote, Bangalore, 562114, Karnataka
³Professor, Department of Pathology, MVJ Medical College & Research Hospital, Hoskote, Bangalore, 562114, Karnataka

*Corresponding Author
Email: [email protected]

Received Date:27 May 2025, Accepted Date:29 May 2025, Published Date:17 June 2025

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Artificial Intelligence (AI) has transitioned from a futuristic concept to a present-day reality, actively transforming healthcare. Its applications range from interpreting complex radiology and pathology images to generating predictive models for patient outcomes 1. Despite its potential, AI remains underutilized across the three foundational pillars of medicine: education, research, and clinical practice. This disconnect between emerging technology and traditional medical structures is the gap we must urgently bridge.

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Copyright

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published By Sri Devaraj Urs Academy of Higher Education, Kolar, Karnataka