Artificial intelligence-enabled ophthalmoscopy for papilledema: a systematic review protocol.

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.

Informations de copyright

Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.

Déclaration de conflit d'intérêts

A.G.K. and P.J.H. are supported by the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre, Royal College of Surgeons of England, and the NIHR Global Health Research Group on Acquired Brain and Spine Injury. P.J.H. is also supported by an NIHR Research Professorship. K.K. is supported by a NIHR Development and Skills Enhancement Grant. L.R. is a NIHR-funded Academic Clinical Fellow at the University of Leicester. T.B., K.K., and B.G.S are supported by the NIHR Global Health Research Group of Acquired Brain and Spine Injury.