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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探索科威特放射技师对人工智能的准备：见解和应用

人工智能（AI）在医学成像领域的应用越来越广泛。人工智能可以潜在地加强病人的护理，改善工作流程，并分析病人的医疗数据。本研究旨在探讨放射技师对将人工智能集成到医学成像中的知识、看法和期望，并通过评估一种基于人工智能的胸部报告生成软件来突出人工智能的一种可用应用。方法对50名放射技师进行横断面调查，询问有关人口统计学和人工智能知识的信息。回顾性部分收集胸片（n = 40），使用西门子AI软件生成AI报告。放射科医生使用李克特量表来评估报告的准确性。获得伦理批准。数据以mean±SD表示。结果调查结果显示，大多数参与者同意放射技师必须适应人工智能技术，并且他们有兴趣参加放射摄影方面的人工智能课程（98%,92%,n = 50）。参与者对人工智能的看法与其对人工智能教育的看法相关（p < 0.05, r = 0.307）。回顾性研究的结果显示，放射科医生同意53%的人工智能生成的胸部报告。研究结果表明，需要对放射技师进行人工智能教育和培训，以增加他们的知识，提高他们使用人工智能的能力。此外，该研究表明，人工智能工具在医学成像领域显示出巨大的前景。

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