皮肤科患者对人工智能和远程医疗的看法:叙述综述。

Q3 Medicine
JMIR dermatology Pub Date : 2025-07-20 DOI:10.2196/75454
Charlotte McRae, Ting Dan Zhang, Leslie Donoghue Seeley, Michael Anderson, Laci Turner, Lauren V Graham
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引用次数: 0

摘要

背景:人工智能(AI)和远程医疗在改变皮肤科护理服务方面具有巨大潜力,但患者对这些技术的看法尚未进行系统比较。目的:研究患者对皮肤病学中人工智能和远程医疗的看法,为这些技术在临床实践中的日益融合提供实施策略。方法:于2024年8月~ 2024年10月,利用PubMed、Scopus和Embase数据库进行综合文献检索。我们确定了48篇关于患者对皮肤病学中人工智能和远程医疗的看法的文章,没有一篇直接比较这两种技术的观点。结果:关于患者对这些技术的看法,出现了几个不同的主题:使用的意愿、可感知的益处和风险、实施的障碍以及成功整合所需的条件。研究结果显示,患者对缺乏皮肤科医生参与的基于人工智能的诊断表现出犹豫,而对远程皮肤科的偏好因预约原因、年龄和先前的技术暴露而异。患者实施人工智能的动机与人工智能更快诊断和提高分诊效率的潜力有关,而远程医疗解决了诸如减少旅行时间和提高预约时间等后勤挑战。这两种技术都被认为提高了可及性和诊断效率,尽管患者对人工智能有限的沟通能力和远程皮肤科在进行身体检查方面的局限性表示担忧。采用这些方法的主要障碍包括技术限制和信任问题,患者强调需要皮肤科医生的监督、透明度和足够的教育资源才能成功整合。结论:人工智能和远程皮肤病学的互补优势表明,当集成人工智能可能提高远程皮肤病学的诊断准确性,而远程皮肤病学解决人工智能缺乏人际联系时,它们可以缓解彼此的局限性。通过彻底检查这些观点,本综述可以作为指导,以病人为中心的技术整合在未来的景观可及的皮肤护理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Patient Perceptions of Artificial Intelligence and Telemedicine in Dermatology: A Narrative Review.

Patient Perceptions of Artificial Intelligence and Telemedicine in Dermatology: A Narrative Review.

Background: Artificial intelligence (AI) and telemedicine have great potential to transform dermatology care delivery, but patient perspectives on these technologies have not been systematically compared.

Objective: To examine patient perspectives on AI and telemedicine in dermatology to inform implementation strategies as these technologies increasingly converge in clinical practice.

Methods: A comprehensive literature search was conducted using PubMed, Scopus, and Embase databases between August 2024 and October 2024. We identified 48 articles addressing patient perspectives on AI and telemedicine in dermatology, with none directly comparing views on both technologies.

Results: Several distinct themes emerged regarding patient perspectives on these technologies: willingness to use, perceived benefits and risks, barriers to implementation, and conditions necessary for successful integration. Findings revealed that patients express hesitancy towards AI-based diagnoses that lack dermatologist involvement, while preferences for teledermatology varied by appointment reason, age, and prior technology exposure. Patients' motivations for AI implementation are connected to AI's potential for quicker diagnoses and improved triage efficiency, while telemedicine addresses logistical challenges such as reduced travel time and improved appointment availability. Both technologies were perceived to improve accessibility and diagnostic efficiency, though patients expressed concerns about AI's limited communication abilities and teledermatology's limits in performing physical examinations. Primary adoption barriers for these modalities included technological limitations and trust concerns, with patients emphasizing the need for dermatologist oversight, transparency, and adequate educational resources for successful integration.

Conclusions: The complementary strengths of AI and teledermatology suggest they could mitigate each other's limitations when integrated-AI potentially enhancing teledermatology's diagnostic accuracy while teledermatology addresses AI's lack of human connection. By thoroughly examining these perspectives, this review may serve as a guide for patient-centered technological integration in the future landscape of accessible dermatologic care.

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来源期刊
CiteScore
1.20
自引率
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审稿时长
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