Latest AI and machine learning research in ophthalmology for healthcare professionals.
BACKGROUND: Distal radial fractures (DRFs) are some of the most common pediatric injuries, often involving the physis. Diagnostic accuracy can be challenging for physicians unfamiliar with managing pediatric injuries, with misdiagnosis rates reported as high as 46% [1-3]. These patients frequently do not present to a pediatric orthopaedic surgeon or musculoskeletal radiologist initially. Therefore...
PURPOSE: To utilize a machine learning model for employing ultra-widefield fundus photograph (UWFFP) as a surrogate marker for ultra-widefield fluorescein angiography (UWFFA) in detecting posterior segment inflammation. DESIGN: An evaluation of technology. PARTICIPANTS: Not applicable. METHODS: Ultra-widefield fundus photographs were extracted and grouped based on the corresponding UWFFA images, w...
Anterior segment optical coherence tomography (AS-OCT) is emerging as an essential tool in the diagnosis and monitoring of uveitis. Offering noninvasi...
In precision medicine, digital twins-virtual models of patients created using personalized data and advanced machine learning-are potentially changing...
High-quality fundus images provide essential anatomical information for clinical screening and ophthalmic disease diagnosis. Yet, due to hardware limi...
Age-related macular degeneration (AMD) is one of the most common types of eye diseases that generally affect the elderly population over 50 years of a...
INTRODUCTION: Acute lymphoblastic leukemia (ALL) is a highly heterogeneous hematologic malignancy with poor prognosis in refractory and relapsed cases...
PURPOSE: To develop and evaluate a deep learning model that integrates ultra-widefield fundus photography and B-scan ultrasonography for automated cla...
BACKGROUND: Vision and vision-language foundation models, a subset of advanced artificial intelligence (AI) frameworks, have shown transformative pote...
PURPOSE: To develop and validate DeepMocor, a deep learning-based method for motion-compensated 4-dimensional magnetic resonance fingerprinting (4D-MR...
OBJECTIVE: Aims to develop a standardized evaluation method based on the YOLOv8n object detection algorithm, with the goal of quantitatively assessing...
PURPOSE: Coats disease is a rare, retinal vascular disorder characterized by telangiectasias, aneurysmal dilations, and progressive exudative retinal ...
Entity Set Expansion (ESE) is a promising knowledge-acquisition task that aims to retrieve the entities sharing the same semantic class with a small s...
The widespread use of pesticides and genetically modified (GM) crops has greatly improved agricultural productivity and food security. However, excess...
BACKGROUND: Thrombophilia evaluation requires integration of biochemical findings with clinical history, much of which is embedded in unstructured ele...
This review provides a comprehensive overview of recent transformative advancements in diagnostic imaging that position Japan at the forefront of radi...
Advancements in artificial intelligence have propelled affective computing toward unprecedented accuracy and real-world impact. By leveraging the uniq...
Rumination is problematic for individuals with obsessive compulsive disorder (OCD), and yet, is not addressed in standard treatment for OCD. Further, ...
PURPOSE: To identify baseline clinical signs and symptoms associated with response to intense pulsed light (IPL) combined with meibomian gland express...
Retinal diseases are a leading cause of vision impairment and blindness, with timely diagnosis being critical for effective treatment. Optical Coheren...