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

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.

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Journal
Bioinformation
Published
2024-12-31
DOI
https://doi.org/10.6026/9732063002001943
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.12
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Radiologists’ perceptions and readiness for integrating artificial intelligence in diagnostic imaging: A survey-based study

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article

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

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article en
1 citations

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.

BioinformationVol. 20(12)
Madras Medical College (IN), Government Medical College (IN), Sri Ramachandra Medical Centre (IN), Kathmandu Medical College Teaching Hospital (NP)
Openalex Percentile: Top 45%
Artificial Intelligence in Healthcare and Education
0.12
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