Ophthalmology DeepMonitoring: a deep learning-based monitoring system for assessing the quality of cornea images captured by smartphones. September 11, 2024
Ophthalmology Promoting smartphone-based keratitis screening using meta-learning: A multicenter study. September 7, 2024
Ophthalmology Deep learning for multi-type infectious keratitis diagnosis: A nationwide, cross-sectional, multicenter study. July 6, 2024
Ophthalmology Evaluating the accuracy of the Ophthalmologist Robot for multiple blindness-causing eye diseases: a multicentre, prospective study protocol. March 2, 2024
Ophthalmology Deep learning for detecting visually impaired cataracts using fundus images. August 14, 2023
Ophthalmology Artificial intelligence in ophthalmology: The path to the real-world clinic. June 29, 2023
Ophthalmology Artificial intelligence to detect malignant eyelid tumors from photographic images. March 3, 2022
Ophthalmology Deep Learning for Detecting Subretinal Fluid and Discerning Macular Status by Fundus Images in Central Serous Chorioretinopathy. November 22, 2021
Ophthalmology Comparison of deep learning systems and cornea specialists in detecting corneal diseases from low-quality images. November 15, 2021
Ophthalmology Automated detection of retinal exudates and drusen in ultra-widefield fundus images based on deep learning. August 4, 2021
Ophthalmology Preventing corneal blindness caused by keratitis using artificial intelligence. June 19, 2021
Ophthalmology Improving the Generalizability of Infantile Cataracts Detection via Deep Learning-Based Lens Partition Strategy and Multicenter Datasets. May 24, 2021