Awareness and Perception of Artificial Intelligence in Diagnostic Imaging: A Cross‐Speciality Survey of Indian Medical Practitioners

INTRODUCTION: Artificial Intelligence (AI) is one of the rapidly evolving areas of diagnostic imaging; however, the extent to which medical professionals are willing to apply these tools to routine care in India has not been thoroughly researched. This is a cross-sectional descriptive study that evaluated awareness, perceptions and perceived impact of AI among radiologists, orthopaedic surgeons and physicians practising in Gujarat. METHODS: A questionnaire, designed according to Scheetz et al., was completed by 102 practitioners in a structured manner. Frequency distributions, percentage analysis and descriptive statistics were performed. RESULTS: It was also found that 88.2% were aware of AI, with only 47.1% identifying their knowledge as average, and 13.7% as above average. Although AI is not used regularly, 52.9% reported never using AI. Most respondents had a favourable view of AI: 66.7% indicated willingness to implement AI-supported clinical workflow, and 60.8% believed AI would positively affect their area. The issues raised were data security (67.6%), less dependence on specialists (62.7%) and confidence in the black-box systems. Most of the respondents (64.7%) felt that AI would have a significant effect on clinical practice in the next 1-10 years. CONCLUSION: Radiologists expressed relatively more acceptance, and physicians expressed more concern with workforce implications. The results show that there is a significant interest, but unequal readiness, in the specialties. Enhancing AI-specific training and developing governance models can help make the safe and ethical adoption of AI-enabled diagnostic imaging.

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Publication Details

Journal
Journal of Medical Imaging and Radiation Oncology
Published
2026-10-06
DOI
https://doi.org/10.1111/1754-9485.70189
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
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article

Awareness and Perception of Artificial Intelligence in Diagnostic Imaging: A Cross‐Speciality Survey of Indian Medical Practitioners

Santosh Ojha, Dolly Anil Sharma, M. Panda, Mwanajuma Yahya Kassim et al.
Journal of Medical Imaging and Radiation Oncology
Artificial Intelligence in Healthcare and Education
article

Awareness and Perception of Artificial Intelligence in Diagnostic Imaging: A Cross‐Speciality Survey of Indian Medical Practitioners

Santosh Ojha, Dolly Anil Sharma, M. Panda, Mwanajuma Yahya Kassim, Shreeni Shah
article en

Abstract

INTRODUCTION: Artificial Intelligence (AI) is one of the rapidly evolving areas of diagnostic imaging; however, the extent to which medical professionals are willing to apply these tools to routine care in India has not been thoroughly researched. This is a cross-sectional descriptive study that evaluated awareness, perceptions and perceived impact of AI among radiologists, orthopaedic surgeons and physicians practising in Gujarat. METHODS: A questionnaire, designed according to Scheetz et al., was completed by 102 practitioners in a structured manner. Frequency distributions, percentage analysis and descriptive statistics were performed. RESULTS: It was also found that 88.2% were aware of AI, with only 47.1% identifying their knowledge as average, and 13.7% as above average. Although AI is not used regularly, 52.9% reported never using AI. Most respondents had a favourable view of AI: 66.7% indicated willingness to implement AI-supported clinical workflow, and 60.8% believed AI would positively affect their area. The issues raised were data security (67.6%), less dependence on specialists (62.7%) and confidence in the black-box systems. Most of the respondents (64.7%) felt that AI would have a significant effect on clinical practice in the next 1-10 years. CONCLUSION: Radiologists expressed relatively more acceptance, and physicians expressed more concern with workforce implications. The results show that there is a significant interest, but unequal readiness, in the specialties. Enhancing AI-specific training and developing governance models can help make the safe and ethical adoption of AI-enabled diagnostic imaging.

Journal of Medical Imaging and Radiation Oncology
Dharmsinh Desai University (IN), Maharishi Markandeshwar University, Mullana (IN), Rayat Bahra University (IN), Shree Guru Gobind Singh Tricentenary University (IN), Charotar University of Science and Technology (IN)
Openalex Percentile: Top 19%
Artificial Intelligence in Healthcare and Education
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