Perspectives and Challenges of Telemedicine and Artificial Intelligence in Pediatric Dermatology.

IF 2 4区 医学 Q2 PEDIATRICS
Daniele Zama, Andrea Borghesi, Alice Ranieri, Elisa Manieri, Luca Pierantoni, Laura Andreozzi, Arianna Dondi, Iria Neri, Marcello Lanari, Roberta Calegari
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Abstract

Background: Pediatric dermatology represents one of the most underserved subspecialties in pediatrics. Artificial intelligence (AI) and telemedicine have become considerable in dermatology, reaching diagnostic accuracy comparable to or exceeding that of in-person visits. This work aims to review the current state of telemedicine and AI in pediatric dermatology, suggesting potential ways to address existing issues and challenges.

Methods: We conducted a literature review including only articles published in the last 15 years. A total of 458 studies were identified, of which only 76 were included.

Results: Most of the studies on telemedicine evaluate accuracy focused on concordance, which ranges from 70% to 89% for the most common pediatric skin diseases. Telemedicine showed the potential to manage chronic dermatological conditions in children, as well as decrease waiting times, and represents the chance for unprivileged populations to overcome barriers limiting access to medical care. The main limitations of telemedicine consist of the language barrier and the need for adequate technologies and acceptable image-quality video, which can be overcome by AI. AI-driven apps and platforms can facilitate remote consultations between pediatric dermatologists and patients or their caregivers. However, the integration of AI into clinical practice faces some challenges ranging from technical to ethical and regulatory. It is crucial to ensure that the development, deployment, and utilization of AI systems conform to the seven fundamental requirements for trustworthy AI.

Conclusion: This study supplies a detailed discussion of open challenges with a particular focus on equity and ethical considerations and defining possible concrete directions.

远程医疗和人工智能在儿科皮肤病学中的前景和挑战。
背景:儿科皮肤病是儿科中服务最不足的亚专科之一。人工智能(AI)和远程医疗在皮肤病学中的应用已相当广泛,其诊断准确率可与亲诊相媲美,甚至超过亲诊。本研究旨在回顾远程医疗和人工智能在儿科皮肤病学中的应用现状,提出解决现有问题和挑战的潜在方法:我们进行了一次文献综述,仅包括过去 15 年发表的文章。方法:我们进行了文献综述,仅包括过去 15 年发表的文章,共发现 458 项研究,其中仅有 76 项被纳入:结果:大多数关于远程医疗准确性评估的研究都集中在一致性上,最常见的儿科皮肤病的一致性从 70% 到 89% 不等。远程医疗显示出管理儿童慢性皮肤病的潜力,并减少了等待时间,为贫困人群克服就医障碍提供了机会。远程医疗的主要局限性包括语言障碍以及对适当技术和可接受图像质量视频的需求,而人工智能可以克服这些局限性。人工智能驱动的应用程序和平台可促进儿科皮肤科医生与患者或其护理人员之间的远程会诊。然而,将人工智能融入临床实践面临着一些挑战,包括技术、伦理和监管方面的挑战。确保人工智能系统的开发、部署和使用符合可信人工智能的七项基本要求至关重要:本研究详细讨论了面临的挑战,尤其侧重于公平和伦理方面的考虑,并确定了可能的具体方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Children-Basel
Children-Basel PEDIATRICS-
CiteScore
2.70
自引率
16.70%
发文量
1735
审稿时长
6 weeks
期刊介绍: Children is an international, open access journal dedicated to a streamlined, yet scientifically rigorous, dissemination of peer-reviewed science related to childhood health and disease in developed and developing countries. The publication focuses on sharing clinical, epidemiological and translational science relevant to children’s health. Moreover, the primary goals of the publication are to highlight under‑represented pediatric disciplines, to emphasize interdisciplinary research and to disseminate advances in knowledge in global child health. In addition to original research, the journal publishes expert editorials and commentaries, clinical case reports, and insightful communications reflecting the latest developments in pediatric medicine. By publishing meritorious articles as soon as the editorial review process is completed, rather than at predefined intervals, Children also permits rapid open access sharing of new information, allowing us to reach the broadest audience in the most expedient fashion.
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