This chapter provides a nontechnical introduction to the machine learning (ML) discipline
aimed at a general audience with an affinity for biomedical applications. It familiarizes the …

Artificial intelligence (AI) and Deep Learning Algorithms are potential methods for preventing
the alarmingly widespread RNA viruses and ensuring pandemic safety, they have become …

Plus disease is characterized by abnormal changes in retinal vasculature of premature
infants. Presence of Plus disease is an important criterion for identifying treatment-requiring …

Purpose: The objectives of this study were the creation and validation of a screening tool for
age-related macular degeneration (AMD) for routine assessment by primary care …

Currently, artificial intelligence is actively being introduced into various spheres of life, and
medicine is no exception. In ophthalmology, the use of artificial intelligence is very …

This book provides an introduction into the field of digital medicine, its wide spectrum of
current clinical applications, and the future practice of medicine. With" digital health" and" …

Purpose: Evaluate a large language model, GPT4 with vision (GPT-4V), for diagnosing
vitreoretinal diseases in real-world ophthalmology settings. Methods: A retrospective cross …

Many diseases are classified based on human-defined rubrics that are prone to bias.
Supervised neural networks can automate the grading of retinal fundus images, but require …

Glaucoma is a multi-factorial, progressive blinding optic-neuropathy. A variety of factors,
including genetics, vasculature, anatomy, and immune factors, are involved. Worldwide …

Medical image is an important information source to understand the patient's condition. As a
result, interpreting the medical images is a critical part of the clinical procedure. However …