Title
Radiologists’ perceptions and readiness for integrating artificial intelligence in diagnostic imaging: A survey-based study
Authors
Prasanna Sakthi Aravazhi1, Kumaran Ottilingam Ravindran1, Kanika Balasubramani1, Mohammed Kamil1, Kanishka Gouthaman1, Lalit Karki2,*, Sandhiya Thiyagarajan3 & Akshay Sureshkumar Nair4
Affiliation
1Institute of Internal Medicine, Madras Medical College, Chennai, India; 2Department of Radiology, Kathmandu Medical College, Kathmandu, Nepal; 3Department of Internal Medicine, MMC, RGGGH, Chennai, India; 4Department of General Medicine, Starcare Hospital, Calicut, India; *Corresponding author
Prasanna Sakthi Aravazhi - E - mail: prasannaaravazhi@gmail.com; Phone no: +91 6382489279
Kumaran Ottilingam Ravindran - E - mail: kumaran99792@gmail.com; Phone no: +91 7305394518
Kanika Balasubramani - E - mail: kanikabalasubramani@gmail.com; Phone no: +91 9360143785
Mohammed Kamil - E - mail: kamil262003@gmail.com; Phone no: +91 7305891605
Kanishka G - E - mail: mail2kanishkag@gmail.com; Phone no: +91 6382894729
Lalit Karki - E - mail: lalitjungkarki@gmail.com; Phone no: +977-9841199101
Sandhiya Thiyagarajan - E - mail: ms.t.sandhiya@gmail.com; Phone no: +91 8667639712
Akshay Sureshkumar Nair - E - mail: akshaysnair54@gmail.com; Phone no: +91 8281931682
Article Type
Research Article
Date
Received December 1, 2024; Revised December 31, 2024; Accepted December 31, 2024, Published December 31, 2024
Abstract
Artificial intelligence (AI) is revolutionizing diagnostic imaging, enhancing precision, speed, and efficiency. This study explored radiologists' perceptions of AI through a survey of 100 radiologists across various institutions, focusing on awareness, benefits, concerns, and preparedness for AI adoption. Most radiologists recognized AI's potential to improve diagnostic accuracy and workflow efficiency but expressed concerns about its reliability, job displacement, and ethical implications. Readiness to adopt AI varied significantly based on age, experience, and familiarity with AI tools. These findings underscore the need for targeted education and training programs to address skepticism and support the effective integration of AI into diagnostic imaging practices.
Keywords
Artificial intelligence, diagnostic imaging, radiologists’ perceptions, AI readiness, survey-based study, ethics in AI
Citation
Aravazhi et al. Bioinformation 20(12): 1943-1947 (2024)
Edited by
A Prashanth
ISSN
0973-2063
Publisher
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.
