Literature DB >> 29356635

Clinical Applicability of Deep Learning System in Detecting Tuberculosis with Chest Radiography.

Daniel S W Ting1,2, Paul H Yi3, Ferdinand Hui3.   

Abstract

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Year:  2018        PMID： 29356635     DOI： 10.1148/radiol.2017172407

Source DB:  PubMed          Journal:  Radiology        ISSN： 0033-8419            Impact factor:   11.105


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  9 in total

1.  Artificial Intelligence Screening for Diabetic Retinopathy: the Real-World Emerging Application.

Authors:  Valentina Bellemo; Gilbert Lim; Tyler Hyungtaek Rim; Gavin S W Tan; Carol Y Cheung; SriniVas Sadda; Ming-Guang He; Adnan Tufail; Mong Li Lee; Wynne Hsu; Daniel Shu Wei Ting
Journal:  Curr Diab Rep       Date:  2019-07-31       Impact factor: 4.810

2.  Multi-center evaluation of artificial intelligent imaging and clinical models for predicting neoadjuvant chemotherapy response in breast cancer.

Authors:  Tan Hong Qi; Ong Hiok Hian; Arjunan Muthu Kumaran; Tira J Tan; Tan Ryan Ying Cong; Ghislaine Lee Su-Xin; Elaine Hsuen Lim; Raymond Ng; Ming Chert Richard Yeo; Faye Lynette Lim Wei Tching; Zhang Zewen; Christina Yang Shi Hui; Wong Ru Xin; Su Kai Gideon Ooi; Lester Chee Hao Leong; Su Ming Tan; Madhukumar Preetha; Yirong Sim; Veronique Kiak Mien Tan; Joe Yeong; Wong Fuh Yong; Yiyu Cai; Wen Long Nei
Journal:  Breast Cancer Res Treat       Date:  2022-03-09       Impact factor: 4.872

3.  Refining dataset curation methods for deep learning-based automated tuberculosis screening.

Authors:  Tae Kyung Kim; Paul H Yi; Gregory D Hager; Cheng Ting Lin
Journal:  J Thorac Dis       Date:  2020-09       Impact factor: 2.895

Review 4.  Different fundus imaging modalities and technical factors in AI screening for diabetic retinopathy: a review.

Authors:  Gilbert Lim; Valentina Bellemo; Yuchen Xie; Xin Q Lee; Michelle Y T Yip; Daniel S W Ting
Journal:  Eye Vis (Lond)       Date:  2020-04-14

5.  Artificial Intelligence and Ophthalmology

Authors:  Kadircan Keskinbora; Fatih Güven
Journal:  Turk J Ophthalmol       Date:  2020-03-05

Review 6.  Use of Artificial Intelligence and Machine Learning for Discovery of Drugs for Neglected Tropical Diseases.

Authors:  David A Winkler
Journal:  Front Chem       Date:  2021-03-15       Impact factor: 5.221

7.  Acceptability of artificial intelligence-based retina screening in general population.

Authors:  Payal Shah; Divyansh Mishra; Mahesh Shanmugam; M J Vighnesh; Hariprasad Jayaraj
Journal:  Indian J Ophthalmol       Date:  2022-04       Impact factor: 2.969

Review 8.  Artificial intelligence and deep learning in ophthalmology.

Authors:  Daniel Shu Wei Ting; Louis R Pasquale; Lily Peng; John Peter Campbell; Aaron Y Lee; Rajiv Raman; Gavin Siew Wei Tan; Leopold Schmetterer; Pearse A Keane; Tien Yin Wong
Journal:  Br J Ophthalmol       Date:  2018-10-25       Impact factor: 4.638

9.  Temporal Trends in Cervical Spine Curvature of South Korean Adults Assessed by Deep Learning System Segmentation, 2006-2018.

Authors:  YiRang Shin; Kyunghwa Han; Young Han Lee
Journal:  JAMA Netw Open       Date:  2020-10-01
  9 in total

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