The growing recognition of differences in health outcomes across populations has led to a
slow but increasing shift towards transparent reporting of patient outcomes. In addition, pay …

Purpose This study aims to compare artificial intelligence (AI) systems applied in diabetic
retinopathy (DR) teleophthalmology screening, currently deployed systems, fairness …

This study aimed to evaluate the image quality assessment (IQA) and quality criteria
employed in publicly available datasets for diabetic retinopathy (DR). A literature search …

Aims This study aims to compare the performance of a handheld fundus camera (Eyer) and
standard tabletop fundus cameras (Visucam 500, Visucam 540, and Canon CR-2) for …

SUMMARY OBJECTIVE: The aim of this study was to evaluate the performance of ChatGPT-
4.0 in answering the 2022 Brazilian National Examination for Medical Degree Revalidation …

Artificial Intelligence (AI) represents a significant milestone in health care's digital
transformation. However, traditional health care education and training often lack digital …

Artificial intelligence (AI) and machine learning (ML) have an immense potential to transform
healthcare as already demonstrated in various medical specialties. This scoping review …

This review's objective was to synthesize the literature on the repercussions of obstructive
sleep apnea (OSA) in the retinal vascular system. Two independent investigators conducted …

Artificial intelligence (AI) algorithms have the potential to revolutionize healthcare, but their
successful translation into clinical practice has been limited. One crucial factor is the data …

Background The COVID-19 pandemic has increased the use of digital solutions in medical
care, especially for patients in remote areas and those requiring regular medical care …