Elnaggar Marwa, Alharbi Zaid A, Alanazi Aasheq M, Alsaiari Saleh O, Alhemaidani Abdullah M, Alanazi Sami F, Alanazi Muteb M
Department of Community and Family Medicine, College of Medicine, Jouf University, Sakakah, SAU.
Department of Medical Education, College of Medicine, Suez Canal University, Ismailia, EGY.
Cureus. 2023 Aug 2;15(8):e42858. doi: 10.7759/cureus.42858. eCollection 2023 Aug.
Objective This study is aimed at assessing the perception and worries of Saudi healthcare providers about the application of artificial intelligence (AI) in Saudi healthcare facilities. Methods The study adopted a cross-sectional study involving 1026 Saudi healthcare providers between January 2023 and April 2023. The target population was healthcare providers across Saudi health facilities. Online questionnaires were administered through social media platforms. Data were analyzed using SPSS Statistics, version 26.0 (IBM Corp., Armonk, NY) to obtain important insights. Results The results of this study indicated that more than half (55.2%) of the respondents had good knowledge of AI, with (48.1%) of them being familiar with the application of AI in their specialty. A good proportion of the participants (57.9%) knew at least one term about the difference between machine learning and deep learning. More than half (69.9%) of the participants indicated that they had at one point in time used speech recognition or transcription application in their work. A large section (73.3%) of healthcare providers believed that AI would replace them at their job. A vast majority (84.9%) of the participants agreed that collaboration between medical schools with engineering and computer science faculties could be a game changer to provide a road for incorporating AI into medical curricula. The mean perception of AI in this study was 37.6 (SD=8.41; range 0-241). Age, level of health, health profession, and working experience all significantly impacted the positive perception score (p=0.021; p=0.031; p=0.041; p=0.026). However, there was no significant association between gender, nationality, and Saudi regions with a mean positive perception score. Conclusion There was a positive perception of AI among Saudi healthcare providers. Even though a substantial majority of Saudi healthcare providers were worried that AI would replace their jobs, the study revealed that AI serves as a crucial practitioner's tool rather than a physician's replacement.
目的 本研究旨在评估沙特医疗服务提供者对人工智能(AI)在沙特医疗机构应用的认知和担忧。方法 本研究采用横断面研究,在2023年1月至2023年4月期间对1026名沙特医疗服务提供者进行调查。目标人群为沙特各医疗机构的医疗服务提供者。通过社交媒体平台发放在线问卷。使用SPSS Statistics 26.0版(IBM公司,纽约州阿蒙克)对数据进行分析以获取重要见解。结果 本研究结果表明,超过一半(55.2%)的受访者对人工智能有良好的了解,其中48.1%的人熟悉人工智能在其专业领域的应用。相当一部分参与者(57.9%)至少知道一个关于机器学习和深度学习差异的术语。超过一半(69.9%)的参与者表示他们在工作中曾使用过语音识别或转录应用程序。很大一部分(73.3%)医疗服务提供者认为人工智能会取代他们的工作。绝大多数(84.9%)参与者同意医学院与工程和计算机科学系之间的合作可能会成为将人工智能纳入医学课程的关键转折点。本研究中对人工智能的平均认知度为37.6(标准差=8.41;范围0 - 241)。年龄、健康状况、医疗职业和工作经验均对积极认知得分有显著影响(p = 0.021;p = 0.031;p = 0.041;p = 0.026)。然而,性别、国籍和沙特地区与平均积极认知得分之间没有显著关联。结论 沙特医疗服务提供者对人工智能有积极的认知。尽管绝大多数沙特医疗服务提供者担心人工智能会取代他们的工作,但研究表明人工智能是一种重要的从业者工具,而非医生的替代品。