Jane Scheetz

A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology

Jane Scheetz, Philip Rothschild, Myra B. McGuinness et al. · Scientific Reports · 2021 · 273 citations · Full text

Medicine, Dermatology, Radiology +10

An Automated Grading System for Detection of Vision-Threatening Referable Diabetic Retinopathy on the Basis of Color Fundus Photographs

Zhixi Li, Stuart Keel, Chi Liu et al. · Diabetes Care · 2018 · 263 citations

Health Professions, Computer Science, Ophthalmology +16

Feasibility and patient acceptability of a novel artificial intelligence-based screening model for diabetic retinopathy at endocrinology outpatient services: a pilot study

Stuart Keel, Pei Ying Lee, Jane Scheetz et al. · Scientific Reports · 2018 · 215 citations · Full text

Medicine, Computer Science, Ophthalmology +17

Visualizing Deep Learning Models for the Detection of Referable Diabetic Retinopathy and Glaucoma

Stuart Keel, Jinrong Wu, Pei Ying Lee et al. · JAMA Ophthalmology · 2018 · 119 citations

Health Professions, Computer Science, Ophthalmology +17

Development and validation of a deep‐learning algorithm for the detection of neovascular age‐related macular degeneration from colour fundus photographs

Stuart Keel, Zhixi Li, Jane Scheetz et al. · Clinical and Experimental Ophthalmology · 2019 · 87 citations · Full text

Medicine, Computer Science, Ophthalmology +17