These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
151 related articles for article (PubMed ID: 36757713)
1. Neurologic Dysfunction Assessment in Parkinson Disease Based on Fundus Photographs Using Deep Learning. Ahn S; Shin J; Song SJ; Yoon WT; Sagong M; Jeong A; Kim JH; Yu HG JAMA Ophthalmol; 2023 Mar; 141(3):234-240. PubMed ID: 36757713 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. Deep Learning Detection of Sea Fan Neovascularization From Ultra-Widefield Color Fundus Photographs of Patients With Sickle Cell Hemoglobinopathy. Cai S; Parker F; Urias MG; Goldberg MF; Hager GD; Scott AW JAMA Ophthalmol; 2021 Feb; 139(2):206-213. PubMed ID: 33377944 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. Inter-rater variability in motor function assessment in Parkinson's disease between experts in movement disorders and nurses specialising in PD management. de Deus Fonticoba T; Santos García D; Macías Arribí M Neurologia (Engl Ed); 2019 Oct; 34(8):520-526. PubMed ID: 28549752 [TBL] [Abstract][Full Text] [Related]
6. Long-term outcomes of deep brain stimulation in severe Parkinson's disease utilizing UPDRS III and modified Hoehn and Yahr as a severity scale. Kahn L; Mathkour M; Lee SX; Gouveia EE; Hanna JA; Garces J; Scullen T; McCormack E; Riffle J; Glynn R; Houghton D; Lea G; Biro EE; Bui CJ; Sulaiman OA; Smith RD Clin Neurol Neurosurg; 2019 Apr; 179():67-73. PubMed ID: 30851616 [TBL] [Abstract][Full Text] [Related]
7. Predicting the Progression of Parkinson's Disease MDS-UPDRS-III Motor Severity Score from Gait Data using Deep Learning. Zia Ur Rehman R; Rochester L; Yarnall AJ; Del Din S Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():249-252. PubMed ID: 34891283 [TBL] [Abstract][Full Text] [Related]
9. From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs. Medeiros FA; Jammal AA; Thompson AC Ophthalmology; 2019 Apr; 126(4):513-521. PubMed ID: 30578810 [TBL] [Abstract][Full Text] [Related]
10. Detection of Progressive Glaucomatous Optic Nerve Damage on Fundus Photographs with Deep Learning. Medeiros FA; Jammal AA; Mariottoni EB Ophthalmology; 2021 Mar; 128(3):383-392. PubMed ID: 32735906 [TBL] [Abstract][Full Text] [Related]
11. The association between Parkinson's disease symptom side-of-onset and performance on the MDS-UPDRS scale part IV: Motor complications. Bay AA; Hart AR; Michael Caudle W; Corcos DM; Hackney ME J Neurol Sci; 2019 Jan; 396():262-265. PubMed ID: 30537631 [TBL] [Abstract][Full Text] [Related]
12. [A deep-learning model for the assessment of coronary heart disease and related risk factors via the evaluation of retinal fundus photographs]. Ding YD; Zhang Y; He LQ; Fu M; Zhao X; Huang LK; Wang B; Chen YZ; Wang ZH; Ma ZQ; Zeng Y Zhonghua Xin Xue Guan Bing Za Zhi; 2022 Dec; 50(12):1201-1206. PubMed ID: 36517441 [No Abstract] [Full Text] [Related]
13. 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; N Engl J Med; 2020 Apr; 382(18):1687-1695. PubMed ID: 32286748 [TBL] [Abstract][Full Text] [Related]
14. Motor planning error in Parkinson's disease and its clinical correlates. Kawasaki T; Mikami K; Kamo T; Aoki R; Ishiguro R; Nakamura H; Tozawa R; Asada N; Hiiragi Y; Yamada Y; Hirano M; Katsuki K PLoS One; 2018; 13(8):e0202228. PubMed ID: 30102731 [TBL] [Abstract][Full Text] [Related]
15. Measuring disease progression in early Parkinson disease: the National Institutes of Health Exploratory Trials in Parkinson Disease (NET-PD) experience. Parashos SA; Luo S; Biglan KM; Bodis-Wollner I; He B; Liang GS; Ross GW; Tilley BC; Shulman LM; JAMA Neurol; 2014 Jun; 71(6):710-6. PubMed ID: 24711047 [TBL] [Abstract][Full Text] [Related]
16. Does the MDS-UPDRS provide the precision to assess progression in early Parkinson's disease? Learnings from the Parkinson's progression marker initiative cohort. Regnault A; Boroojerdi B; Meunier J; Bani M; Morel T; Cano S J Neurol; 2019 Aug; 266(8):1927-1936. PubMed ID: 31073716 [TBL] [Abstract][Full Text] [Related]
17. [Alterations in erythrocytic oligomeric alpha-synuclein in patients with Parkinson's disease and multiple system atrophy]. Yan XM; Li PJ; Li W; Wang XM; Yu S Zhonghua Yi Xue Za Zhi; 2023 Oct; 103(37):2933-2939. PubMed ID: 37752052 [No Abstract] [Full Text] [Related]
18. Serum BDNF discriminates Parkinson's disease patients with depression from without depression and reflect motor severity and gender differences. Huang Y; Huang C; Zhang Q; Wu W; Sun J J Neurol; 2021 Apr; 268(4):1411-1418. PubMed ID: 33179143 [TBL] [Abstract][Full Text] [Related]
19. Impact of non-motor symptoms on health-related and perceived quality of life in Parkinson's disease. Santos-García D; de la Fuente-Fernández R J Neurol Sci; 2013 Sep; 332(1-2):136-40. PubMed ID: 23890935 [TBL] [Abstract][Full Text] [Related]
20. Development and validation of a deep-learning algorithm for the detection of neovascular age-related macular degeneration from colour fundus photographs. Keel S; Li Z; Scheetz J; Robman L; Phung J; Makeyeva G; Aung K; Liu C; Yan X; Meng W; Guymer R; Chang R; He M Clin Exp Ophthalmol; 2019 Nov; 47(8):1009-1018. PubMed ID: 31215760 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]