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
* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.