PURPOSE To investigate the ability of generative artificial intelligence models to answer
ophthalmology board–style questions. DESIGN Experimental study. METHODS This study …

Abstract The phrase “Bench-to-Bedside” is a well-known phrase in medicine, highlighting
scientific discoveries that directly translate to impacting patient care. Key examples of …

Advancements in computational techniques have transformed glaucoma research, providing
a deeper understanding of genetics, disease mechanisms, and potential therapeutic targets …

As artificial intelligence (AI) continues to make significant advancements in healthcare, there
is a growing need to ensure the transparency and trustworthiness of AI-driven clinical …

Recent evidence of economic evaluation of artificial intelli... : Current Opinion in Ophthalmology
Recent evidence of economic evaluation of artificial intelligence in ophthalmology : Current …

Dr. Mohammad Javed Ali's article entitled “ChatGPT and Lacrimal Drainage Disorders:
Performance and Scope of Improvement” examines the performance of the large language …

Artificial intelligence models encounter significant challenges due to their black-box nature,
particularly in safety-critical domains such as healthcare, finance, and autonomous vehicles …

This review shows the capabilities of artificial intelligence (AI) in the analysis of digital
images in the field of medicine using convolutional neural networks of deep learning (DL). A …

Introduction Artificial Intelligence (AI) has proven effective in classifying skin cancers using
dermoscopy images. In experimental settings, algorithms have outperformed expert …

The integration of artificial intelligence (AI) within ophthalmology represents a paradigm shift
that can redefine patient interactions and healthcare delivery [1]. The large language model …