专题:Ophthalmology and Visual Health Research

This cluster of papers focuses on ophthalmology education and training methods, particularly related to ophthalmoscopy, fundus photography, and clinical skills. It explores the use of simulation, virtual reality, and telemedicine in improving education for medical students and practitioners. The papers also discuss the challenges and opportunities in the current ophthalmology curriculum.
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A foundation model for generalizable disease detection from retinal images

article Full Text OpenAlex 995 FWCI145.5223

Evaluating the Performance of ChatGPT in Ophthalmology

article Full Text OpenAlex 560 FWCI19.2701

A deep learning system for predicting time to progression of diabetic retinopathy

article Full Text OpenAlex 334 FWCI75.9357

Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard

article Full Text OpenAlex 311 FWCI10.7027

Performance of an Artificial Intelligence Chatbot in Ophthalmic Knowledge Assessment

article Full Text OpenAlex 306 FWCI10.4423

Deep Learning Techniques for Diabetic Retinopathy Classification: A Survey

article Full Text OpenAlex 267 FWCI28.001

A deep learning model for detection of Alzheimer's disease based on retinal photographs: a retrospective, multicentre case-control study

article Full Text OpenAlex 265 FWCI25.8174

Comparison of Ophthalmologist and Large Language Model Chatbot Responses to Online Patient Eye Care Questions

article Full Text OpenAlex 247 FWCI8.5

Real-time diabetic retinopathy screening by deep learning in a multisite national screening programme: a prospective interventional cohort study

article Full Text OpenAlex 246 FWCI24.4045

TFOS DEWS III: Diagnostic Methodology

article Full Text OpenAlex 228 FWCI185.2245