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Radiologists' perceptions and readiness for integrating artificial intelligence in diagnostic imaging: A survey-based study.

作者信息

Aravazhi Prasanna Sakthi, Ravindran Kumaran Ottilingam, Balasubramani Kanika, Kamil Mohammed, Gouthaman Kanishka, Karki Lalit, Thiyagarajan Sandhiya, Nair Akshay Sureshkumar

机构信息

Institute of Internal Medicine, Madras Medical College, Chennai, India.

Department of Radiology, Kathmandu Medical College, Kathmandu, Nepal.

出版信息

Bioinformation. 2024 Dec 31;20(12):1943-1947. doi: 10.6026/9732063002001943. eCollection 2024.


DOI:10.6026/9732063002001943
PMID:40230922
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11993419/
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.

摘要

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本文引用的文献

[1]
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[2]
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Eur J Radiol. 2024-8

[3]
A Nordic survey on artificial intelligence in the radiography profession - Is the profession ready for a culture change?

Radiography (Lond). 2024-7

[4]
Radiology Residents' Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study.

J Med Internet Res. 2023-10-19

[5]
Artificial intelligence in diagnostic pathology.

Diagn Pathol. 2023-10-3

[6]
Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches.

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[7]
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Curr Urol Rep. 2023-3

[8]
Perspectives of radiographers on the emergence of artificial intelligence in diagnostic imaging in Saudi Arabia.

Insights Imaging. 2022-11-22

[9]
Robotic-assisted abdominal aortic surgery: evidence and techniques.

J Robot Surg. 2022-12

[10]
Robotic-Assisted Surgery: A Brief History to Understand Today's Practices.

AORN J. 2022-3

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