136 related articles for article (PubMed ID: 36732671)
21. Artificial Intelligence-Assisted Early Detection of Retinitis Pigmentosa - the Most Common Inherited Retinal Degeneration.
Chen TC; Lim WS; Wang VY; Ko ML; Chiu SI; Huang YS; Lai F; Yang CM; Hu FR; Jang JR; Yang CH
J Digit Imaging; 2021 Aug; 34(4):948-958. PubMed ID: 34244880
[TBL] [Abstract][Full Text] [Related]
22. Predicting the risk of developing diabetic retinopathy using deep learning.
Bora A; Balasubramanian S; Babenko B; Virmani S; Venugopalan S; Mitani A; de Oliveira Marinho G; Cuadros J; Ruamviboonsuk P; Corrado GS; Peng L; Webster DR; Varadarajan AV; Hammel N; Liu Y; Bavishi P
Lancet Digit Health; 2021 Jan; 3(1):e10-e19. PubMed ID: 33735063
[TBL] [Abstract][Full Text] [Related]
23. Development and Validation of a Multimodal-Based Prognosis and Intervention Prediction Model for COVID-19 Patients in a Multicenter Cohort.
Lee JH; Ahn JS; Chung MJ; Jeong YJ; Kim JH; Lim JK; Kim JY; Kim YJ; Lee JE; Kim EY
Sensors (Basel); 2022 Jul; 22(13):. PubMed ID: 35808502
[TBL] [Abstract][Full Text] [Related]
24. Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus Photographs.
Liu H; Li L; Wormstone IM; Qiao C; Zhang C; Liu P; Li S; Wang H; Mou D; Pang R; Yang D; Zangwill LM; Moghimi S; Hou H; Bowd C; Jiang L; Chen Y; Hu M; Xu Y; Kang H; Ji X; Chang R; Tham C; Cheung C; Ting DSW; Wong TY; Wang Z; Weinreb RN; Xu M; Wang N
JAMA Ophthalmol; 2019 Dec; 137(12):1353-1360. PubMed ID: 31513266
[TBL] [Abstract][Full Text] [Related]
25. Screening and identifying hepatobiliary diseases through deep learning using ocular images: a prospective, multicentre study.
Xiao W; Huang X; Wang JH; Lin DR; Zhu Y; Chen C; Yang YH; Xiao J; Zhao LQ; Li JO; Cheung CY; Mise Y; Guo ZY; Du YF; Chen BB; Hu JX; Zhang K; Lin XS; Wen W; Liu YZ; Chen WR; Zhong YS; Lin HT
Lancet Digit Health; 2021 Feb; 3(2):e88-e97. PubMed ID: 33509389
[TBL] [Abstract][Full Text] [Related]
26. Use of multimodal dataset in AI for detecting glaucoma based on fundus photographs assessed with OCT: focus group study on high prevalence of myopia.
Lim WS; Ho HY; Ho HC; Chen YW; Lee CK; Chen PJ; Lai F; Jang JR; Ko ML
BMC Med Imaging; 2022 Nov; 22(1):206. PubMed ID: 36434508
[TBL] [Abstract][Full Text] [Related]
27. Predicting Optical Coherence Tomography-Derived High Myopia Grades From Fundus Photographs Using Deep Learning.
Wu Z; Cai W; Xie H; Chen S; Wang Y; Lei B; Zheng Y; Lu L
Front Med (Lausanne); 2022; 9():842680. PubMed ID: 35308524
[TBL] [Abstract][Full Text] [Related]
28. A Deep Learning-Based Algorithm Identifies Glaucomatous Discs Using Monoscopic Fundus Photographs.
Liu S; Graham SL; Schulz A; Kalloniatis M; Zangerl B; Cai W; Gao Y; Chua B; Arvind H; Grigg J; Chu D; Klistorner A; You Y
Ophthalmol Glaucoma; 2018; 1(1):15-22. PubMed ID: 32672627
[TBL] [Abstract][Full Text] [Related]
29. Prediction of White Matter Hyperintensity in Brain MRI Using Fundus Photographs via Deep Learning.
Cho BJ; Lee M; Han J; Kwon S; Oh MS; Yu KH; Lee BC; Kim JH; Kim C
J Clin Med; 2022 Jun; 11(12):. PubMed ID: 35743380
[TBL] [Abstract][Full Text] [Related]
30. Effects of a gluten-reduced or gluten-free diet for the primary prevention of cardiovascular disease.
Schmucker C; Eisele-Metzger A; Meerpohl JJ; Lehane C; Kuellenberg de Gaudry D; Lohner S; Schwingshackl L
Cochrane Database Syst Rev; 2022 Feb; 2(2):CD013556. PubMed ID: 35199850
[TBL] [Abstract][Full Text] [Related]
31. Development and validation of a deep learning algorithm based on fundus photographs for estimating the CAIDE dementia risk score.
Hua R; Xiong J; Li G; Zhu Y; Ge Z; Ma Y; Fu M; Li C; Wang B; Dong L; Zhao X; Ma Z; Chen J; Gao X; He C; Wang Z; Wei W; Wang F; Gao X; Chen Y; Zeng Q; Xie W
Age Ageing; 2022 Dec; 51(12):. PubMed ID: 36580391
[TBL] [Abstract][Full Text] [Related]
32. ASSESSMENT OF CENTRAL SEROUS CHORIORETINOPATHY DEPICTED ON COLOR FUNDUS PHOTOGRAPHS USING DEEP LEARNING.
Zhen Y; Chen H; Zhang X; Meng X; Zhang J; Pu J
Retina; 2020 Aug; 40(8):1558-1564. PubMed ID: 31283737
[TBL] [Abstract][Full Text] [Related]
33. Prediction of Suicidal Behaviors in the Middle-aged Population: Machine Learning Analyses of UK Biobank.
Wang J; Qiu J; Zhu T; Zeng Y; Yang H; Shang Y; Yin J; Sun Y; Qu Y; Valdimarsdóttir UA; Song H
JMIR Public Health Surveill; 2023 Feb; 9():e43419. PubMed ID: 36805366
[TBL] [Abstract][Full Text] [Related]
34. Development of a novel dementia risk prediction model in the general population: A large, longitudinal, population-based machine-learning study.
You J; Zhang YR; Wang HF; Yang M; Feng JF; Yu JT; Cheng W
EClinicalMedicine; 2022 Nov; 53():101665. PubMed ID: 36187723
[TBL] [Abstract][Full Text] [Related]
35. Development of a deep residual learning algorithm to screen for glaucoma from fundus photography.
Shibata N; Tanito M; Mitsuhashi K; Fujino Y; Matsuura M; Murata H; Asaoka R
Sci Rep; 2018 Oct; 8(1):14665. PubMed ID: 30279554
[TBL] [Abstract][Full Text] [Related]
36. Machine learning predicting myopic regression after corneal refractive surgery using preoperative data and fundus photography.
Kim J; Ryu IH; Kim JK; Lee IS; Kim HK; Han E; Yoo TK
Graefes Arch Clin Exp Ophthalmol; 2022 Nov; 260(11):3701-3710. PubMed ID: 35748936
[TBL] [Abstract][Full Text] [Related]
37. Automated detection of genetic relatedness from fundus photographs using Siamese Neural Networks.
Bhandari SM; Singh P; Arun N; Sekimitsu S; Raghu V; Rauscher FG; Elze T; Horn K; Kirsten T; Scholz M; Segrè AV; Wiggs JL; Kalpathy-Cramer J; Zebardast N
medRxiv; 2023 Aug; ():. PubMed ID: 37662422
[TBL] [Abstract][Full Text] [Related]
38. Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs.
Gulshan V; Peng L; Coram M; Stumpe MC; Wu D; Narayanaswamy A; Venugopalan S; Widner K; Madams T; Cuadros J; Kim R; Raman R; Nelson PC; Mega JL; Webster DR
JAMA; 2016 Dec; 316(22):2402-2410. PubMed ID: 27898976
[TBL] [Abstract][Full Text] [Related]
39. Artificial intelligence for the detection of age-related macular degeneration in color fundus photographs: A systematic review and meta-analysis.
Dong L; Yang Q; Zhang RH; Wei WB
EClinicalMedicine; 2021 May; 35():100875. PubMed ID: 34027334
[TBL] [Abstract][Full Text] [Related]
40. Machine Learning Approach to Classify Cardiovascular Disease in Patients With Nonalcoholic Fatty Liver Disease in the UK Biobank Cohort.
Sharma D; Gotlieb N; Farkouh ME; Patel K; Xu W; Bhat M
J Am Heart Assoc; 2022 Jan; 11(1):e022576. PubMed ID: 34927450
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
