| Identifier |
20230313_nanos_sciplatform1_05 |
| Title |
Detection of Papilledema on Non-Mydriatic Ocular Fundus Photography In the Emergency Department: Application of the BONSAI Deep Learning System (DLS) To the FOTO-ED Study |
| Creator |
Valerie Biousse; Raymond Najjar; Zhiqun Tang; Mung Yan "Amy" Lin; David Wright; Beau Bruce; Nancy Newman; on behalf of The BONSAI Consortium; BONSAI Study group |
| Affiliation |
(VB) Departments of Ophthalmology and Neurology, Emory University School of Medicine, Atlanta, GA; (RN) Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; Duke-NUS Medical School, National University of Singapore, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; (ZT) Singapore Eye Research Institute, Singapore National Eye Centre, Singapore; (MYL) (DW) Emory University School of Medicine; (BB) Emory University; (NN) Departments of Ophthalmology, Neurology, and Neurological Surgery, Emory University School of Medicine, Atlanta, GA; (on behalf) BONSAI Consortium; (BONSAI) Singapore |
| Subject |
Pseudotumor Cerebri; Diagnostic Tests (ERG, VER, OCT, HRT, mfERG, etc) |
| Description |
The FOTO-ED studies showed that ED providers (EDPs) poorly recognized relevant ocular funduscopic findings in patients presenting to the ED with headaches, acute neurologic findings, severe hypertension or visual loss, using direct ophthalmoscopy [0% correctly identified] or on non-mydriatic fundus photography (NMFP), either without or with additional training in photographic interpretation [48% and 43% correctly identified, respectively]. The trained BONSAI-DLS distinguished "normal optic discs", "papilledema", and "other optic disc abnormalities" on mydriatic fundus photographs with high accuracy. We tested the BONSAI-DLS on images prospectively included in the FOTO-ED studies to determine if the BONSAI-DLS could have improved the detection of relevant optic disc abnormalities had it been available to EDPs as a real-time diagnostic aid. |
| Date |
2023-03 |
| References |
1-Bruce BB, Lamirel C, Wright DW, et al. Nonmydriatic ocular fundus photography in the emergency department. N Engl J Med. 2011;364(4):387-9. 2-Bruce BB, Thulasi P, Fraser CL, et al. Diagnostic accuracy and use of nonmydriatic ocular fundus photography by emergency physicians: phase II of the FOTO-ED study. Ann Emerg Med. 2013;62(1):28-33.e1. 3-Bruce BB, Bidot S, Hage R, et al. Fundus Photography vs. Ophthalmoscopy Outcomes in the Emergency Department (FOTO-ED) Phase III: Web-based, In-service Training of Emergency Providers. Neuroophthalmology. 2018;42(5):269-274. 4-Milea D, Najjar RP, Zhubo J, et al. Artificial intelligence to detect papilledema from ocular fundus photographs. N Engl J Med. 2020;382(18):1687-1695. |
| Language |
eng |
| Format |
video/mp4 |
| Type |
Image/MovingImage |
| Source |
49th Annual North American Neuro-Ophthalmology Society Annual Meeting |
| Relation is Part of |
NANOS Annual Meeting 2023: Scientific Platform Session I: https://novel.utah.edu/collection/NAM/toc/ |
| Collection |
Neuro-Ophthalmology Virtual Education Library: NOVEL http://NOVEL.utah.edu |
| Publisher |
North American Neuro-Ophthalmology Society |
| Holding Institution |
Spencer S. Eccles Health Sciences Library, University of Utah, 10 N 1900 E SLC, UT 84112-5890 |
| Rights Management |
Copyright 2023. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright |
| ARK |
ark:/87278/s6kf3h25 |
| Setname |
ehsl_novel_nam |
| ID |
2385970 |
| Reference URL |
https://collections.lib.utah.edu/ark:/87278/s6kf3h25 |
