Rambabu Lekaashree, Smith Brandon G, Tumpa Stasa, Kohler Katharina, Kolias Angelos G, Hutchinson Peter J, Bashford Tom
University of Leicester, Leicester.
NIHR Global Health Research Group on Acquired Brain and Spine Injury.
Int J Surg Protoc. 2023 Dec 22;28(1):27-30. doi: 10.1097/SP9.0000000000000016. eCollection 2024 Mar.
Papilledema is a pathology delineated by the swelling of the optic disc secondary to raised intracranial pressure (ICP). Diagnosis by ophthalmoscopy can be useful in the timely stratification of further investigations, such as magnetic resonance imaging or computed tomography to rule out pathologies associated with raised ICP. In resource-limited settings, in particular, access to trained specialists or radiological imaging may not always be readily available, and accurate fundoscopy-based identification of papilledema could be a useful tool for triage and escalation to tertiary care centres. Artificial intelligence (AI) has seen a rise in neuro-ophthalmology research in recent years, but there are many barriers to the translation of AI to clinical practice. The objective of this systematic review is to garner and present a comprehensive overview of the existing evidence on the application of AI in ophthalmoscopy for papilledema, and to provide a valuable perspective on this emerging field that sits at the intersection of clinical medicine and computer science, highlighting possible avenues for future research in this domain.
视乳头水肿是一种由于颅内压升高继发视盘肿胀而界定的病理状态。通过检眼镜检查进行诊断有助于及时分层进行进一步检查，如磁共振成像或计算机断层扫描，以排除与颅内压升高相关的病变。特别是在资源有限的环境中，可能无法随时获得训练有素的专家或放射影像学检查，基于眼底镜检查的视乳头水肿准确识别可能是分诊和转诊至三级护理中心的有用工具。近年来，人工智能（AI）在神经眼科研究中得到了发展，但将AI转化为临床实践存在许多障碍。本系统评价的目的是收集并全面概述关于AI在检眼镜检查中用于视乳头水肿的现有证据，并为这个处于临床医学和计算机科学交叉点的新兴领域提供有价值的观点，突出该领域未来可能的研究途径。
