Exploring Radiographers' Readiness for Artificial Intelligence in Kuwait: Insights and Applications

IF 2.1 Q2 MEDICINE, GENERAL & INTERNAL

Health Science Reports Pub Date : 2025-03-27 DOI:10.1002/hsr2.70465

Asseel Khalaf, Manar Alshammari, Hawraa Zayed, Maryam Emnawer, Abdulmohsen Esfahani

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Abstract

Introduction

There is a growing adoption of artificial intelligence (AI) in the field of medical imaging. AI can potentially enhance patient care, improve workflow, and analyze patient's medical data. This study aimed to explore radiographers' knowledge, perceptions, and expectations toward integrating AI into medical imaging and to highlight one of the available applications of AI by evaluating an AI-based software that generates chest reports.

Methods

A cross-sectional survey was distributed to radiographers (n = 50) requesting information regarding demographics and knowledge of AI. In the retrospective part, chest radiographs were collected (n = 40), and an AI report was generated using Siemens AI software. A Likert scale was used by a radiologist to rate the report's accuracy. Ethical approval was obtained. Data are presented as mean ± SD.

Results

The survey results showed that most participants agreed that radiographers must adapt the AI technology, and they showed interest in taking courses about AI within radiography (98%, 92%, n = 50). Participants' opinions on AI correlated with their perceptions of AI education (p < 0.05, r = 0.307). The findings from the retrospective study showed that the radiologist agreed with 53% of the AI-generated chest reports.

Conclusion

The study findings identified a need for AI education and training for radiographers to increase their knowledge and improve their ability to use AI. Additionally, the study demonstrated that AI-powered tools are showing great promise in the field of medical imaging.

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