Title

Knowledge, attitudes and perceptions of AI in medicine among Indian doctors

Authors

Chidurala Rahul^1,*, Shriraam Karunakaran², Venkatesh Kartikeyan³, Suresh Varadharajan¹, Swetha Chandru²

Affiliation

¹Department of Community Medicine, Sri Ramachandra Medical and Research Hospital, Porur, Chennai-600116, Tamil Nadu, India; ²Department of Biochemistry, MVJ Medical College and Research Hospital, Bangalore-562114, Karnataka, India; ³Department of Community Medicine, AIIMS, Patna-801507, Bihar, India; *Corresponding author

Email

Chidurala Rahul - E - mail: rahulrocky0311@gmail.com; Phone: +91 7338776693
Shriraam Karunakaran - E - mail: drshriraamkarunakaran@gmail.com
Venkatesh Kartikeyan - E - mail: 485202@gmail.com
Suresh Varadharajan - E - mail: drsureshvaradharajan@gmail.com
Swetha Chandru - E - mail: drswethac@gmail.com

Article Type

Research Article

Date

Received May 1, 2025; Revised May 31, 2025; Accepted May 31, 2025, Published May 31, 2025

Abstract

Artificial Intelligence (AI) is revolutionizing healthcare. However, there is a significant lack of understanding among medical practitioners on AI. Therefore, it is of interest to evaluate the knowledge, awareness, experience and perceptions regarding AI among 250 medical students, doctors and members of the Indian Medical Association (IMA). A Questionnaire based survey revealed that though the participants were well aware of the general AI concepts, not even half felt that it would be helpful for diagnosis and treatment purposes. Also, 82.9% (n=207) reported not taking any formal courses on AI, which again emphasizes a learning gap. Results suggest better training of AI within the medical education framework to prepare healthcare professionals to face imminent trends.

Keywords

Artificial Intelligence (AI), medical students, healthcare, knowledge attitudes perception

Citation

Ragul et al. Bioinformation 21(5): 1061-1068 (2025)

Edited by

P Kangueane

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.