Literature DB >> 31635697

An Ophthalmologist's Guide to Deciphering Studies in Artificial Intelligence.

Daniel S W Ting1, Aaron Y Lee2, Tien Y Wong3.   

Abstract

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Year:  2019        PMID： 31635697      PMCID： PMC7339681          DOI： 10.1016/j.ophtha.2019.09.014

Source DB:  PubMed          Journal:  Ophthalmology        ISSN： 0161-6420            Impact factor:   12.079


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  35 in total

1.  Panretinal Photocoagulation vs Intravitreous Ranibizumab for Proliferative Diabetic Retinopathy: A Randomized Clinical Trial.

Authors:  Jeffrey G Gross; Adam R Glassman; Lee M Jampol; Seidu Inusah; Lloyd Paul Aiello; Andrew N Antoszyk; Carl W Baker; Brian B Berger; Neil M Bressler; David Browning; Michael J Elman; Frederick L Ferris; Scott M Friedman; Dennis M Marcus; Michele Melia; Cynthia R Stockdale; Jennifer K Sun; Roy W Beck
Journal:  JAMA       Date:  2015-11-24       Impact factor: 56.272

2.  AI for medical imaging goes deep.

Authors:  Daniel S W Ting; Yong Liu; Philippe Burlina; Xinxing Xu; Neil M Bressler; Tien Y Wong
Journal:  Nat Med       Date:  2018-05       Impact factor: 53.440

3.  A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images.

Authors:  Huazhu Fu; Mani Baskaran; Yanwu Xu; Stephen Lin; Damon Wing Kee Wong; Jiang Liu; Tin A Tun; Meenakshi Mahesh; Shamira A Perera; Tin Aung
Journal:  Am J Ophthalmol       Date:  2019-03-06       Impact factor: 5.258

4.  Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity.

Authors:  Travis K Redd; John Peter Campbell; James M Brown; Sang Jin Kim; Susan Ostmo; Robison Vernon Paul Chan; Jennifer Dy; Deniz Erdogmus; Stratis Ioannidis; Jayashree Kalpathy-Cramer; Michael F Chiang
Journal:  Br J Ophthalmol       Date:  2018-11-23       Impact factor: 4.638

5.  Automated Identification of Diabetic Retinopathy Using Deep Learning.

Authors:  Rishab Gargeya; Theodore Leng
Journal:  Ophthalmology       Date:  2017-03-27       Impact factor: 12.079

Review 6.  Proposed international clinical diabetic retinopathy and diabetic macular edema disease severity scales.

Authors:  C P Wilkinson; Frederick L Ferris; Ronald E Klein; Paul P Lee; Carl David Agardh; Matthew Davis; Diana Dills; Anselm Kampik; R Pararajasegaram; Juan T Verdaguer
Journal:  Ophthalmology       Date:  2003-09       Impact factor: 12.079

7.  Assessment of Automated Identification of Phases in Videos of Cataract Surgery Using Machine Learning and Deep Learning Techniques.

Authors:  Felix Yu; Gianluca Silva Croso; Tae Soo Kim; Ziang Song; Felix Parker; Gregory D Hager; Austin Reiter; S Swaroop Vedula; Haider Ali; Shameema Sikder
Journal:  JAMA Netw Open       Date:  2019-04-05

8.  Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices.

Authors:  Michael D Abràmoff; Philip T Lavin; Michele Birch; Nilay Shah; James C Folk
Journal:  NPJ Digit Med       Date:  2018-08-28

9.  A deep learning model for the detection of both advanced and early glaucoma using fundus photography.

Authors:  Jin Mo Ahn; Sangsoo Kim; Kwang-Sung Ahn; Sung-Hoon Cho; Kwan Bok Lee; Ungsoo Samuel Kim
Journal:  PLoS One       Date:  2018-11-27       Impact factor: 3.240
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  9 in total

1.  Bringing Ophthalmic Graduate Medical Education into the 2020s with Information Technology.

Authors:  Emily Cole; Nita G Valikodath; April Maa; R V Paul Chan; Michael F Chiang; Aaron Y Lee; Daniel C Tu; Thomas S Hwang
Journal:  Ophthalmology       Date:  2020-12-24       Impact factor: 12.079

2.  Digital Education in Ophthalmology.

Authors:  Tala Al-Khaled; Luis Acaba-Berrocal; Emily Cole; Daniel S W Ting; Michael F Chiang; R V Paul Chan
Journal:  Asia Pac J Ophthalmol (Phila)       Date:  2022-05-01

3.  Artificial Intelligence for the Estimation of Visual Acuity Using Multi-Source Anterior Segment Optical Coherence Tomographic Images in Senile Cataract.

Authors:  Hyunmin Ahn; Ikhyun Jun; Kyoung Yul Seo; Eung Kweon Kim; Tae-Im Kim
Journal:  Front Med (Lausanne)       Date:  2022-05-17

4.  Evaluation of pediatric ophthalmologists' perspectives of artificial intelligence in ophthalmology.

Authors:  Nita G Valikodath; Tala Al-Khaled; Emily Cole; Daniel S W Ting; Elmer Y Tu; J Peter Campbell; Michael F Chiang; Joelle A Hallak; R V Paul Chan
Journal:  J AAPOS       Date:  2021-06-01       Impact factor: 1.325

5.  A multi-center study of prediction of macular hole status after vitrectomy and internal limiting membrane peeling by a deep learning model.

Authors:  Yijun Hu; Yu Xiao; Wuxiu Quan; Bin Zhang; Yuqing Wu; Qiaowei Wu; Baoyi Liu; Xiaomin Zeng; Ying Fang; Yu Hu; Songfu Feng; Ling Yuan; Tao Li; Hongmin Cai; Honghua Yu
Journal:  Ann Transl Med       Date:  2021-01

Review 6.  Ethics of Artificial Intelligence in Medicine and Ophthalmology.

Authors:  Yasser Ibraheem Abdullah; Joel S Schuman; Ridwan Shabsigh; Arthur Caplan; Lama A Al-Aswad
Journal:  Asia Pac J Ophthalmol (Phila)       Date:  2021 May-Jun 01

7.  Medical Staff and Resident Preferences for Using Deep Learning in Eye Disease Screening: Discrete Choice Experiment.

Authors:  Senlin Lin; Liping Li; Haidong Zou; Yi Xu; Lina Lu
Journal:  J Med Internet Res       Date:  2022-09-20       Impact factor: 7.076

8.  Impact of Artificial Intelligence on Medical Education in Ophthalmology.

Authors:  Nita G Valikodath; Emily Cole; Daniel S W Ting; J Peter Campbell; Louis R Pasquale; Michael F Chiang; R V Paul Chan
Journal:  Transl Vis Sci Technol       Date:  2021-06-01       Impact factor: 3.283

9.  Effects of Study Population, Labeling and Training on Glaucoma Detection Using Deep Learning Algorithms.

Authors:  Mark Christopher; Kenichi Nakahara; Christopher Bowd; James A Proudfoot; Akram Belghith; Michael H Goldbaum; Jasmin Rezapour; Robert N Weinreb; Massimo A Fazio; Christopher A Girkin; Jeffrey M Liebmann; Gustavo De Moraes; Hiroshi Murata; Kana Tokumo; Naoto Shibata; Yuri Fujino; Masato Matsuura; Yoshiaki Kiuchi; Masaki Tanito; Ryo Asaoka; Linda M Zangwill
Journal:  Transl Vis Sci Technol       Date:  2020-04-28       Impact factor: 3.283
  9 in total

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