也门大学生公众对人工智能在医疗保健领域应用的看法:横断面研究

Najmaddin A. H. Hatem, Mohamed Izham Mohamed Ibrahim, Seena A. Yousuf
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摘要

人工智能(AI)与医疗保健的结合已成为一种变革力量,有望提高医疗诊断、治疗和整体医疗服务水平。因此,本研究调查了大学生对在医疗保健领域使用人工智能的看法。本研究于 2023 年 9 月至 2023 年 11 月在两所主要大学进行了横向调查,采用纸质问卷。调查使用了分布于五个领域的 25 个条目,考察了参与者对在医疗保健领域使用人工智能的看法。变量比较采用了曼-惠特尼 U 检验。调查的回复率为 75%,样本量为 279 个。超过半数的参与者(52%,n = 145)表示相信人工智能有可能在未来减少治疗错误。然而,大约(61.6%,n = 172)的参与者担心人工智能的影响会阻碍医生学习对患者护理做出正确判断,并且普遍认为(69%)医生最终应保持对患者护理的最终控制权。有人工智能经验(如使用人工智能聊天机器人)的参与者在 "人工智能在医疗保健中的益处和积极性 "和 "担忧和恐惧 "两个领域的得分分别显著较高(p = 0.024)和(p = 0.026)。已确定的谨慎乐观、担忧和恐惧突显了成功整合人工智能所需的微妙平衡。研究结果强调了解决具体问题、促进对人工智能的积极体验以及建立透明沟通渠道的重要性。此类研究的洞察力可指导制定伦理框架、政策和有针对性的干预措施,促进人工智能和谐地融入发展中国家的医疗保健领域。
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Yemeni university students public perceptions toward the use of artificial intelligence in healthcare: A cross-sectional study
The integration of artificial intelligence (AI) in healthcare has emerged as a transformative force, promising to enhance medical diagnosis, treatment, and overall healthcare delivery. Hence, this study investigates the university students perceptions toward using AI in healthcare. A cross-sectional survey was conducted at two major universities using a paper-based questionnaire from September 2023 to November 2023. Participants' views regarding using artificial intelligence in healthcare were investigated using 25 items distributed across five domains. The Mann-Whitney U test was applied for the comparison of variables. The response rate for the survey was 75%, with a sample size of 279. More than half of the participants (52%, n = 145) expressed their belief in AI's potential to reduce treatment errors in the future. However, about (61.6%, n = 172) of participants fear the influence of AI that could prevent doctors from learning to make correct patient care judgments, and it was widely agreed (69%) that doctors should ultimately maintain final control over patient care. Participants with experience with AI, such as engaging with AI chatbots, significantly reported higher scores in both the "Benefits and Positivity Toward AI in Healthcare" and "Concerns and Fears" domains (p = 0.024) and (p = 0.026), respectively. The identified cautious optimism, concerns, and fears highlight the delicate balance required for successful AI integration. The findings emphasize the importance of addressing specific concerns, promoting positive experiences with AI, and establishing transparent communication channels. Insights from such research can guide the development of ethical frameworks, policies, and targeted interventions, fostering a harmonious integration of AI into the healthcare landscape in developing countries.
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