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Showing results (191-200 of 221) with videos related to

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Ophthalmology. Retina|January 27, 2024
Artificial Intelligence, Digital Imaging, and Robotics Technologies for Surgical Vitreoretinal DiseasesStanley S J Poh, Josh T Sia, Michelle Y T Yip, et al.
Diabetes Care|March 15, 2011
Diabetes-related distress and physical and psychological health in chinese type 2 diabetic patientsRose Z W Ting, Hairong Nan, Mandy W M Yu, et al.
Journal of Neuro-Ophthalmology : the Official Journal of the North American Neuro-Ophthalmology Society|January 31, 2023
Deep Learning System Outperforms Clinicians in Identifying Optic Disc AbnormalitiesCaroline Vasseneix, Simon Nusinovici, Xinxing Xu, et al.
Eclinicalmedicine|October 29, 2024
Diagnostic performance of deep learning for infectious keratitis: a systematic review and meta-analysisZun Zheng Ong, Youssef Sadek, Riaz Qureshi, et al.
The Lancet. Digital Health|December 17, 2020
A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populationsCharumathi Sabanayagam, Dejiang Xu, Daniel S W Ting, et al.
Nature Medicine|June 10, 2020
Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering GroupViknesh Sounderajah, Hutan Ashrafian, Ravi Aggarwal, et al.
Ophthalmology|April 25, 2020
Preparedness among Ophthalmologists: During and Beyond the COVID-19 PandemicJi-Peng Olivia Li, Jessica Shantha, Tien Y Wong, et al.
NPJ Digital Medicine|July 16, 2019
Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic studyDaniel S W Ting, Carol Y Cheung, Quang Nguyen, et al.
Scientific Reports|March 28, 2020
25-years Trends and Risk factors related to Surgical Outcomes of Giant Retinal Tear-Rhegmatogenous Retinal DetachmentsDaniel S W Ting, Valencia H X Foo, Tien-En Tan, et al.
The Lancet. Digital Health|December 17, 2020
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling studyYuchen Xie, Quang D Nguyen, Haslina Hamzah, et al.
Pageof 23

Showing results (191-200 of 221) with videos related to

Sort By:
Pageof 23
Ophthalmology. Retina|January 27, 2024
Artificial Intelligence, Digital Imaging, and Robotics Technologies for Surgical Vitreoretinal DiseasesStanley S J Poh, Josh T Sia, Michelle Y T Yip, et al.
Diabetes Care|March 15, 2011
Diabetes-related distress and physical and psychological health in chinese type 2 diabetic patientsRose Z W Ting, Hairong Nan, Mandy W M Yu, et al.
Journal of Neuro-Ophthalmology : the Official Journal of the North American Neuro-Ophthalmology Society|January 31, 2023
Deep Learning System Outperforms Clinicians in Identifying Optic Disc AbnormalitiesCaroline Vasseneix, Simon Nusinovici, Xinxing Xu, et al.
Eclinicalmedicine|October 29, 2024
Diagnostic performance of deep learning for infectious keratitis: a systematic review and meta-analysisZun Zheng Ong, Youssef Sadek, Riaz Qureshi, et al.
The Lancet. Digital Health|December 17, 2020
A deep learning algorithm to detect chronic kidney disease from retinal photographs in community-based populationsCharumathi Sabanayagam, Dejiang Xu, Daniel S W Ting, et al.
Nature Medicine|June 10, 2020
Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering GroupViknesh Sounderajah, Hutan Ashrafian, Ravi Aggarwal, et al.
Ophthalmology|April 25, 2020
Preparedness among Ophthalmologists: During and Beyond the COVID-19 PandemicJi-Peng Olivia Li, Jessica Shantha, Tien Y Wong, et al.
NPJ Digital Medicine|July 16, 2019
Deep learning in estimating prevalence and systemic risk factors for diabetic retinopathy: a multi-ethnic studyDaniel S W Ting, Carol Y Cheung, Quang Nguyen, et al.
Scientific Reports|March 28, 2020
25-years Trends and Risk factors related to Surgical Outcomes of Giant Retinal Tear-Rhegmatogenous Retinal DetachmentsDaniel S W Ting, Valencia H X Foo, Tien-En Tan, et al.
The Lancet. Digital Health|December 17, 2020
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling studyYuchen Xie, Quang D Nguyen, Haslina Hamzah, et al.
Pageof 23