Department of Pediatric Rheumatology, Faculty of Medicine, Marmara University, Istanbul, Turkey.
Department of Pediatric Rheumatology, Cerrahpasa Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey.
Rheumatol Int. 2024 Nov;44(11):2315-2325. doi: 10.1007/s00296-024-05661-x. Epub 2024 Jul 16.
Artificial intelligence algorithms, with roots extending into the past but experiencing a resurgence and evolution in recent years due to their superiority over traditional methods and contributions to human capabilities, have begun to make their presence felt in the field of pediatric rheumatology. In the ever-evolving realm of pediatric rheumatology, there have been incremental advancements supported by artificial intelligence in understanding and stratifying diseases, developing biomarkers, refining visual analyses, and facilitating individualized treatment approaches. However, like in many other domains, these strides have yet to gain clinical applicability and validation, and ethical issues remain unresolved. Furthermore, mastering different and novel terminologies appears challenging for clinicians. This review aims to provide a comprehensive overview of the current literature, categorizing algorithms and their applications, thus offering a fresh perspective on the nascent relationship between pediatric rheumatology and artificial intelligence, highlighting both its advancements and constraints.
人工智能算法起源于过去，但近年来由于其优于传统方法和对人类能力的贡献而重新兴起和发展，已经开始在儿科风湿病学领域崭露头角。在儿科风湿病学这个不断发展的领域，人工智能在疾病的理解和分层、生物标志物的开发、视觉分析的精细化以及个性化治疗方法的制定方面提供了渐进式的进展。然而，与许多其他领域一样，这些进展尚未获得临床适用性和验证，伦理问题仍未解决。此外，掌握不同的和新颖的术语对临床医生来说似乎具有挑战性。本综述旨在对当前文献进行全面概述，对算法及其应用进行分类，从而为儿科风湿病学和人工智能之间新兴的关系提供新的视角，突出其优势和限制。
