Latest AI and machine learning research in ophthalmology for healthcare professionals.
Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading cause of vision impairment worldwide. Despite advancements in pharmacotherapy, challenges such as poor intraocular bioavailability, rapid drug clearance, and the restrictive blood-retinal barrier hinder effective treatment. Recent innovations in ophthalmic drug delivery systems offer promising solutions...
Pathologic myopia is a leading cause of visual impairment and blindness. While deep learning-based approaches aid in recognizing pathologic myopia using color fundus photography, they often rely on implicit patterns that lack clinical interpretability. This study aims to diagnose pathologic myopia by identifying clinically significant morphologic patterns, specifically posterior staphyloma and myo...
An underlying association between primary open-angle glaucoma (POAG) and COVID-19 has been hypothesized, but the causal link and shared mechanisms rem...
Non-invasive intracranial pressure (ICP) monitoring can help clinicians safely and efficiently monitor spaceflight-associated neuro-ocular syndrome (S...
PURPOSE: To develop an ensemble machine learning prediction model for clinical refraction in childhood using partial interferometry measurements.
Given the graft-versus-leukemia effect observed with allogeneic hematopoietic stem cell transplantation in refractory or relapsed acute myeloid leukem...
The rapid proliferation of Large Language Models (LLM) tools, such as ChatGPT developed by OpenAI, presents both a challenge and an opportunity for ed...
BACKGROUND: Facial biometric data, while valuable for clinical applications, poses substantial privacy and security risks.
Diabetic retinopathy (DR) is an age-related macular degeneration eye disease problem that causes pathological changes in the retinal neural and vascul...
BACKGROUND: Myopia is a major cause of vision impairment. To improve the efficiency of myopia screening, this paper proposes a deep learning model, X-...
Digital data are increasingly framed as essential resources in health and medicine, implicating diverse actors who work to transform them into differe...
Animal behavior is adapted to the sensory environment in which it evolved, while also being constrained by physical limits, evolutionary history, and ...
Aging heterogeneity in tissue-regenerative cells leads to variable therapeutic outcomes, complicating quality control and clinical predictability. Con...
Keratoconus is a progressive eye disease characterized by the thinning and bulging of the cornea, leading to visual impairment. Early and accurate dia...
Vision Transformers (ViTs) have achieved impressive results in large-scale image classification. However, when training from scratch on small datasets...
The malformed newborn with craniofacial anomalies was variously regarded in different civilizations. Some populations considered it a symbol of the pr...
OBJECTIVES: To investigate the efficacy of an artificial intelligence (AI)-based fluid monitoring tool in optimizing the monitoring of neovascular age...
INTRODUCTION: Diabetic retinopathy (DR) is a leading cause of vision loss. With an estimated 38.4 million Americans diagnosed with DM, the disease exe...
Decades of research into the molecular signalling determinants of B cell fates, and recent progress in characterising the genetic drivers of lymphoma,...