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沙特阿拉伯吉达市医疗保健领域的人工智能:医生态度与认知研究

Artificial Intelligence in Healthcare: A Study of Physician Attitudes and Perceptions in Jeddah, Saudi Arabia.

作者信息

Alkhatieb Mahmood, Subke Abeer A

机构信息

Preventive Medicine Postgraduate Program, Saudi Ministry of Health, Jeddah, SAU.

出版信息

Cureus. 2024 Mar 30;16(3):e57256. doi: 10.7759/cureus.57256. eCollection 2024 Mar.

DOI:10.7759/cureus.57256
PMID:38686273
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11057398/
Abstract

Background Artificial intelligence (AI) in healthcare is rapidly advancing, reshaping diagnostic, prognostic, and operational tasks in healthcare institutions. The adoption of AI among physicians is varied, with concerns over job loss, medical errors, and lack of emotional intelligence. This study aimed to assess physicians' attitudes and perceptions toward AI in clinical practice in Jeddah, Saudi Arabia, and the factors affecting these attitudes and perceptions. Methodology A cross-sectional study was conducted among physicians at two major hospitals in Jeddah. An in-person digital survey consisted of questions regarding demographic characteristics, attitudes toward clinical AI, and perceptions of AI's impact on healthcare. Results Of the 205 participants, 76% agreed on the accuracy of AI systems, and 60% acknowledged their efficiency as a factor that could influence their willingness to use clinical AI. However, only 25.9% reported using these systems in the past year, with the majority, 74.1%, indicating they had never used them. Notably, there was a significant association between gender and attitude toward AI, with males being more likely to have a positive attitude (p = 0.01). Conclusions While the majority of participants recognized the potential benefits of AI in healthcare, its actual utilization was low. The findings suggest the need for increased AI-related training and education among physicians and the fostering of collaboration between computer scientists, engineers, and medical professionals to accelerate the development of clinically relevant AI tools.

摘要

背景 医疗保健领域的人工智能(AI)正在迅速发展,重塑医疗机构中的诊断、预后和运营任务。医生对AI的采用情况各不相同,他们担心会失业、出现医疗差错以及缺乏情商。本研究旨在评估沙特阿拉伯吉达市医生在临床实践中对AI的态度和看法,以及影响这些态度和看法的因素。

方法 在吉达市的两家主要医院对医生进行了一项横断面研究。一项面对面的数字调查包括有关人口统计学特征、对临床AI的态度以及对AI对医疗保健影响的看法等问题。

结果 在205名参与者中,76%的人认同AI系统的准确性,60%的人承认其效率是可能影响他们使用临床AI意愿的一个因素。然而,在过去一年中,只有25.9%的人报告使用过这些系统,大多数人(74.1%)表示他们从未使用过。值得注意的是,性别与对AI的态度之间存在显著关联,男性更有可能持积极态度(p = 0.01)。

结论 虽然大多数参与者认识到AI在医疗保健中的潜在益处,但其实际使用率较低。研究结果表明,需要加强医生的AI相关培训和教育,并促进计算机科学家、工程师和医学专业人员之间的合作,以加速临床相关AI工具的开发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4a/11057398/dc0d302d628b/cureus-0016-00000057256-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4a/11057398/740c7cef366d/cureus-0016-00000057256-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4a/11057398/9862425a92ed/cureus-0016-00000057256-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4a/11057398/dc0d302d628b/cureus-0016-00000057256-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4a/11057398/740c7cef366d/cureus-0016-00000057256-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4a/11057398/9862425a92ed/cureus-0016-00000057256-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a4a/11057398/dc0d302d628b/cureus-0016-00000057256-i03.jpg

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Comput Struct Biotechnol J. 2024 Feb 17;24:146-159. doi: 10.1016/j.csbj.2024.02.009. eCollection 2024 Dec.
2
The application of artificial intelligence in diabetic retinopathy screening: a Saudi Arabian perspective.人工智能在糖尿病视网膜病变筛查中的应用:沙特阿拉伯的视角
Front Med (Lausanne). 2023 Nov 22;10:1303300. doi: 10.3389/fmed.2023.1303300. eCollection 2023.
3
Radiology Residents' Perceptions of Artificial Intelligence: Nationwide Cross-Sectional Survey Study.
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4
Cancer care at the time of the fourth industrial revolution: an insight to healthcare professionals' perspectives on cancer care and artificial intelligence.第四次工业革命时代的癌症护理:洞察医疗保健专业人员对癌症护理和人工智能的看法。
Radiat Oncol. 2023 Oct 9;18(1):167. doi: 10.1186/s13014-023-02351-z.
5
Opinion research among Russian Physicians on the application of technologies using artificial intelligence in the field of medicine and health care.俄罗斯医师对在医学和医疗保健领域应用人工智能技术的看法研究。
BMC Health Serv Res. 2023 Jul 13;23(1):749. doi: 10.1186/s12913-023-09493-6.
6
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Dtsch Arztebl Int. 2023 Jul 10;120(27-28):463-469. doi: 10.3238/arztebl.m2023.0124.
7
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JMIR Form Res. 2022 Jun 21;6(6):e33368. doi: 10.2196/33368.