Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Computers in Biology and Medicine|November 8, 2019
Automated detection of glaucoma using optical coherence tomography angiogram imagesYam Meng Chan, E Y K Ng, V Jahmunah, et al.
Sensors (Basel, Switzerland)|September 28, 2023
Explainable Risk Prediction of Post-Stroke Adverse Mental Outcomes Using Machine Learning Techniques in a Population of 1780 PatientsChien Wei Oei, Eddie Yin Kwee Ng, Matthew Hok Shan Ng, et al.
International Wound Journal|January 12, 2025
Early experience on injectable micronized putty type human-derived acellular dermal matrix (ADM) in management of diabetic foot wounds in SingaporeAlison Mei Fern Quah, Marcus Jia Ming Ng, Li Zhang, et al.
International Wound Journal|December 26, 2023
Development of an explainable artificial intelligence model for Asian vascular wound imagesZhiwen Joseph Lo, Malcolm Han Wen Mak, Shanying Liang, et al.
Ophthalmology|March 30, 2011
Influence of blood pressure on retinal vascular caliber in young childrenLing-Jun Li, Carol Yim-Lui Cheung, Yang Liu, et al.
Journal of Diabetes Science and Technology|January 30, 2024
Risk Prediction of Diabetic Foot Amputation Using Machine Learning and Explainable Artificial IntelligenceChien Wei Oei, Yam Meng Chan, Xiaojin Zhang, et al.
International Wound Journal|May 4, 2021
Clinical validation of an artificial intelligence-enabled wound imaging mobile application in diabetic foot ulcersKai Siang Chan, Yam Meng Chan, Audrey Hui Min Tan, et al.
The International Journal of Lower Extremity Wounds|June 28, 2023
Getting a Foothold on Diabetic Foot Disease-Outcomes of a Multidisciplinary Clinical Pathway for Inpatient Diabetic Foot Care: A 17-Year Institutional ReviewEnming Yong, Haiqing Gong, Huiling Liew, et al.
International Wound Journal|June 14, 2021
Clinical validation of a machine-learning-based handheld 3-dimensional infrared wound imaging device in venous leg ulcersKai Siang Chan, Shanying Liang, Yuan Teng Cho, et al.
Pageof 2