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Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs.
Milea D, Najjar RP, Zhubo J, Ting D, Vasseneix C, Xu X, Aghsaei Fard M, Fonseca P, Vanikieti K, Lagrèze WA, La Morgia C, Cheung CY, Hamann S, Chiquet C, Sanda N, Yang H, Mejico LJ, Rougier M-B, Kho R, Thi Ha Chau T, Singhal S, Gohier P, Clermont-Vignal C, Cheng C-Y, Jonas JB, Yu-Wai-Man P, Fraser CL, Chen JJ, Ambika S, Miller NR, Liu Y, Newman NJ, Wong TY, Biousse V; BONSAI Group. Milea D, et al. Among authors: kho r. N Engl J Med. 2020 Apr 30;382(18):1687-1695. doi: 10.1056/NEJMoa1917130. Epub 2020 Apr 14. N Engl J Med. 2020. PMID: 32286748
Deep Learning System Outperforms Clinicians in Identifying Optic Disc Abnormalities.
Vasseneix C, Nusinovici S, Xu X, Hwang JM, Hamann S, Chen JJ, Loo JL, Milea L, Tan KBK, Ting DSW, Liu Y, Newman NJ, Biousse V, Wong TY, Milea D, Najjar RP; BONSAI (Brain and Optic Nerve Study With Artificial Intelligence) Group. Vasseneix C, et al. J Neuroophthalmol. 2023 Jun 1;43(2):159-167. doi: 10.1097/WNO.0000000000001800. Epub 2023 Feb 1. J Neuroophthalmol. 2023. PMID: 36719740
The BONSAI (Brain and Optic Nerve Study with Artificial Intelligence) deep learning system can accurately identify pediatric papilledema on standard ocular fundus photographs.
Lin MY, Najjar RP, Tang Z, Cioplean D, Dragomir M, Chia A, Patil A, Vasseneix C, Peragallo JH, Newman NJ, Biousse V, Milea D; BONSAI (Brain and Optic Nerve Study with Artificial Intelligence) group. Lin MY, et al. J AAPOS. 2024 Feb;28(1):103803. doi: 10.1016/j.jaapos.2023.10.005. Epub 2024 Jan 10. J AAPOS. 2024. PMID: 38216117
Patient-Reported Outcome Measures Used in Randomized Controlled Trials Following Surgical Intervention for Endometriosis: A Structured Review from the AAGL Practice Guidelines Group.
Abbott J, Billow M, Gallant T, Hackett L, Kho RM, Knapman B, Russo MAL, Maheux-Lacroix S, Gonzalez AM, Ng C, Orlando MS, Sit A, Xu X. Abbott J, et al. Among authors: kho rm. J Minim Invasive Gynecol. 2024 Feb;31(2):71-83.e17. doi: 10.1016/j.jmig.2023.10.017. Epub 2023 Nov 4. J Minim Invasive Gynecol. 2024. PMID: 37931893 Review.
108 results