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.
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
The use of artificial intelligence to detect papilledema and other optic-disk abnormalities from fundus photographs has not been well studied. ...In the validation set, the system discriminated disks with papilledema from normal disks and disks with nonpapilledema …
The use of artificial intelligence to detect papilledema and other optic-disk abnormalities from fundus photographs has not be …