The Role of Artificial Intelligence in Triaging Patients in Eye Casualty Departments: A Systematic Review.

IF 1.3 Q3 MEDICINE, GENERAL & INTERNAL Cureus Pub Date : 2025-01-28 eCollection Date: 2025-01-01 DOI:10.7759/cureus.78144
Aaruran Nadarajasundaram, Simeon Harrow
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Abstract

Visual impairment and eye disease remain a significant burden, highlighting the need for further support regarding eye care services. Artificial intelligence (AI) and its rapid advancements are providing an avenue for transforming healthcare. As a result, this provides a potential avenue to address the growing challenges with eye health and could assist in settings such as eye casualty departments. This review aims to evaluate current studies on AI implementation in eye casualty triage to understand the potential application for the future. A systematic review was conducted across a range of sources and databases producing 77 records initially identified, with four studies included in the final analysis. The findings demonstrated that AI tools are able to produce consistent and accurate triaging of patients and provide improvement in work efficiency without compromising safety. However, we note limitations of the studies including limited external validations of results and general applicability at present. Additionally, all the studies highlight the need for further studies and testing to allow for better understanding and validation of AI tools in eye casualty triaging.

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人工智能在眼科伤员分诊中的作用:系统综述。
视力损害和眼病仍然是一个重大负担,突出表明需要在眼科保健服务方面提供进一步支持。人工智能(AI)及其快速发展为改变医疗保健提供了一条途径。因此,这为解决日益增长的眼睛健康挑战提供了一条潜在的途径,并可以帮助眼科急诊室等机构。这篇综述旨在评估人工智能在眼科伤员分类中的应用,以了解未来的潜在应用。对一系列来源和数据库进行了系统审查,产生了最初确定的77项记录,其中4项研究纳入了最终分析。研究结果表明,人工智能工具能够在不影响安全性的情况下对患者进行一致和准确的分类,并提高工作效率。然而,我们注意到研究的局限性,包括目前有限的外部验证结果和一般适用性。此外,所有研究都强调了进一步研究和测试的必要性,以便更好地理解和验证人工智能工具在眼外伤分诊中的应用。
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