دورية أكاديمية
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Managing a patient with uveitis in the era of artificial intelligence: Current approaches, emerging trends, and future perspectives.

التفاصيل البيبلوغرافية
العنوان: Managing a patient with uveitis in the era of artificial intelligence: Current approaches, emerging trends, and future perspectives.
المؤلفون: Rojas-Carabali W; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Department of Ophthalmology, Tan Tock Seng Hospital, National Healthcare Group Eye Institute, Singapore. Electronic address: warcinvest@gmail.com., Cifuentes-González C; Department of Ophthalmology, Tan Tock Seng Hospital, National Healthcare Group Eye Institute, Singapore. Electronic address: carlosh.cifuentesg@gmail.com., Gutierrez-Sinisterra L; Department of Ophthalmology, Tan Tock Seng Hospital, National Healthcare Group Eye Institute, Singapore. Electronic address: lauragutierrez90@gmail.com., Heng LY; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore. Electronic address: yuanheng03@gmail.com., Tsui E; Stein Eye Institute, David Geffen of Medicine at UCLA, Los Angeles, CA, USA. Electronic address: etsui@mednet.ucla.edu., Gangaputra S; Vanderbilt Eye Institute, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: sapna.gangaputra@vumc.org., Sadda S; Doheny Eye Institute, David Geffen of Medicine at UCLA, Los Angeles, CA, USA. Electronic address: SSadda@doheny.org., Nguyen QD; Byers Eye Institute, Stanford University, Palo Alto, CA, USA. Electronic address: ndquan@stanford.edu., Kempen JH; Department of Ophthalmology, Massachusetts Eye and Ear/Harvard Medical School; and Schepens Eye Research Institute; Boston, MA, USA; Department of Ophthalmology, Myungsung Medical College/MCM Comprehensive Specialized Hospital, Addis Abeba, Ethiopia; Sight for Souls, Bellevue, WA, USA. Electronic address: kempenjh@yahoo.com., Pavesio CE; Moorfields Eye Hospital, NHS Foundation Trust, London, UK. Electronic address: c.pavesio@nhs.net., Gupta V; Advanced Eye Centre, Post, graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India. Electronic address: vishalisara@yahoo.co.in., Raman R; Department of Ophthalmology, Sankara Nethralaya, Chennai, India. Electronic address: rajivpgraman@gmail.com., Miao C; School of Computer Science and Engineering at Nanyang Technological University, Singapore. Electronic address: ASCYMiao@ntu.edu.sg., Lee B; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore. Electronic address: bernett.lee@ntu.edu.sg., de-la-Torre A; Neuroscience Research Group (NEUROS), Neurovitae Center for Neuroscience, Institute of Translational Medicine (IMT), Escuela de Medicina y Ciencias de la Salud, Universidad del Rosario, Bogotá, Colombia. Electronic address: alejadelatorre@yahoo.com., Agrawal R; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Department of Ophthalmology, Tan Tock Seng Hospital, National Healthcare Group Eye Institute, Singapore; Singapore Eye Research Institute, Singapore; Duke NUS Medical School, Singapore. Electronic address: rupeshttsh@gmail.com.
المصدر: Asia-Pacific journal of ophthalmology (Philadelphia, Pa.) [Asia Pac J Ophthalmol (Phila)] 2024 Jul-Aug; Vol. 13 (4), pp. 100082. Date of Electronic Publication: 2024 Jul 15.
نوع المنشور: Journal Article; Review
اللغة: English
بيانات الدورية: Publisher: Department of Ophthalmology & Visual Sciences, The Chinese University of Hong Kong Country of Publication: United States NLM ID: 101583622 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2162-0989 (Electronic) Linking ISSN: 21620989 NLM ISO Abbreviation: Asia Pac J Ophthalmol (Phila) Subsets: MEDLINE
أسماء مطبوعة: Publication: 2017- : Hong Kong : Department of Ophthalmology & Visual Sciences, The Chinese University of Hong Kong
Original Publication: Philadephia, Pa. : Lippincott Williams & Wilkins
مواضيع طبية MeSH: Artificial Intelligence*/trends , Uveitis*/diagnosis, Humans ; Disease Management
مستخلص: The integration of artificial intelligence (AI) with healthcare has opened new avenues for diagnosing, treating, and managing medical conditions with remarkable precision. Uveitis, a diverse group of rare eye conditions characterized by inflammation of the uveal tract, exemplifies the complexities in ophthalmology due to its varied causes, clinical presentations, and responses to treatments. Uveitis, if not managed promptly and effectively, can lead to significant visual impairment. However, its management requires specialized knowledge, which is often lacking, particularly in regions with limited access to health services. AI's capabilities in pattern recognition, data analysis, and predictive modelling offer significant potential to revolutionize uveitis management. AI can classify disease etiologies, analyze multimodal imaging data, predict outcomes, and identify new therapeutic targets. However, transforming these AI models into clinical applications and meeting patient expectations involves overcoming challenges like acquiring extensive, annotated datasets, ensuring algorithmic transparency, and validating these models in real-world settings. This review delves into the complexities of uveitis and the current AI landscape, discussing the development, opportunities, and challenges of AI from theoretical models to bedside application. It also examines the epidemiology of uveitis, the global shortage of uveitis specialists, and the disease's socioeconomic impacts, underlining the critical need for AI-driven approaches. Furthermore, it explores the integration of AI in diagnostic imaging and future directions in ophthalmology, aiming to highlight emerging trends that could transform management of a patient with uveitis and suggesting collaborative efforts to enhance AI applications in clinical practice.
(Copyright © 2024. Published by Elsevier Inc.)
فهرسة مساهمة: Keywords: Applications; Artificial Intelligence; Diagnosis; Uveitis
تواريخ الأحداث: Date Created: 20240717 Date Completed: 20240907 Latest Revision: 20240907
رمز التحديث: 20240908
DOI: 10.1016/j.apjo.2024.100082
PMID: 39019261
قاعدة البيانات: MEDLINE
الوصف
تدمد:2162-0989
DOI:10.1016/j.apjo.2024.100082