Ophthalmology

Shaping the future of myopia: artificial intelligence for vitreoretinal complications of high and pathologic myopia.

PURPOSE: The global impact of myopia extends far beyond individual ocular health, posing significant challenges to healthcare systems worldwide. Artificial intelligence (AI), particularly deep learning (DL) applied to ophthalmic imaging, offers a promising strategy to ease constraints posed by the myopia epidemic by detecting subtle structural changes early. Here we describe the current literature...

A new model based on multi-axis vision transformer for chondromalacia patella diagnosis in magnetic resonance scans.

A degenerative disease of the patellofemoral joint cartilage, chondromalacia patella (CMP) often results in anterior knee discomfort and functional disability. Determining the best course of therapy and stopping the progression of the disease depend on an accurate and timely diagnosis. In this work, we provide a deep learning architecture based on transformers for the classification of chondromala...

Robust Distance Estimation with Out-of-distribution Detection in Ophthalmic Surgery.

OBJECTIVE: Micrometer-scale precision is vital for patient safety in ophthalmic surgery. Recent advancements in instrument-integrated optical sensors ...

Neural and computational mechanisms underlying one-shot perceptual learning in humans.

The ability to quickly learn and generalize is one of the brain's most impressive feats and recreating it remains a major challenge for modern artific...

RVO-ME: A Dual-Task OCT Dataset for Segmentation and Detection of Macular Lesions in Retinal Vein Occlusion.

Retinal vein occlusion (RVO) is one of the most common vision-threatening retinal diseases, with macular edema (ME) as its primary complication. Optic...

Utilizing optical coherence tomography and machine learning to identify vision abnormalities in pediatric neurofibromatosis type 1 patients.

Neurofibromatosis type 1 (NF-1) is a genetic disorder associated with a high risk of vision loss in children. Optical coherence tomography (OCT) provi...

Comparison of choroidal hypertransmission and retinal pigment epithelium loss for quantification of geographic atrophy across commonly used SD-OCT devices.

To compare the consistency of choroidal hypertransmission (HT) and retinal pigment epithelium (RPE) loss area measurements among three commonly used s...

Automated diagnosis of plus form and early stages of ROP using deep learning models.

Retinopathy of Prematurity (ROP) represents a critical ophthalmological pathology affecting premature infants, with established associations to low bi...

Deep Learning-based Assessment of Eyelid and Periorbital Parameters: Assisting Diagnosis and Treatment Planning in Blepharoptosis.

Blepharoptosis is a common eyelid disorder that impairs both vision and appearance, requiring accurate assessment for effective treatment. This study ...

Predictive value of tear lipidomics biomarkers for TAO activity and relationship with clinical characteristics.

The objective of this study was to explore the lipid metabolic changes in the active thyroid-associated ophthalmopathy (TAO) through tear lipidomics a...

Phenotyping of Patients with Age-Related Macular Degeneration Using Artificial Intelligence-Driven Biomarker Patterns in OCT.

PURPOSE: To leverage artificial intelligence-based OCT analysis to classify age-related macular degeneration (AMD) images into distinct subgroups base...

Spectral Decomposition of Chemical Semantics for Activity Cliffs-Aware Molecular Property Prediction.

Accurately predicting physicochemical and biological properties of molecules is vital for modern drug discovery, yet existing deep learning models str...

An improved seam carving method for enhancing the visual field of tunnel vision patients.

Visual impairment has various forms all of which negatively affect the patient's daily activities and prevent performing simple actions like walking s...

Beyond the dose: a clearance-enabled in vitro platform for evaluating local therapies.

Inclusion of physiologically relevant clearance mechanisms into organ-on-a-chip models is essential to reproduce tissue exposure and predict therapeut...

Shared diagnostic biomarkers and diagnostic models of age-related macular degeneration and systemic lupus erythematosus.

PURPOSE: This study aimed to investigate the potential link between age-related macular degeneration (AMD) and systemic lupus erythematosus (SLE), exp...

Artificial Intelligence and Ocular Imaging in the Evaluation of Neurologic Disorders: The New Era of Neuro-Oculomics?

Links between the eye and the central nervous system (CNS) have been recognized since the origins of the ophthalmoscope. Owing to the elegant topograp...

EVALUATING POSTERIOR VITREOUS DETACHMENT ANNOTATION CONSISTENCY ON OPTICAL COHERENCE TOMOGRAPHY SCANS IN PATIENTS WITH DISEASE OF THE VITREOMACULAR INTERFACE.

PURPOSE: To evaluate intergrader variability in posterior vitreous detachment (PVD) classification in patients with epiretinal membrane and macular ho...

Learning Knowledge-Based Prompts for Robust 3D Mask Presentation Attack Detection.

3D mask presentation attack detection is crucial for protecting face recognition systems against the rising threat of 3D mask attacks. While most exis...

THE ROLE OF EN FACE IMAGING OF RETINAL PIGMENT EPITHELIUM ALTERATIONS IN RAPID CLASSIFICATION OF CENTRAL SEROUS CHORIORETINOPATHY USING WIDEFIELD SWEPT-SOURCE OPTICAL COHERENCE TOMOGRAPHY.

PURPOSE: To investigate the role of widefield en face imaging of retinal pigment epithelium (RPE) alterations using swept-source optical coherence tom...

Listening to the note: clinician perspectives on ambient artificial intelligence scribes in medical documentation.

OBJECTIVES: To qualitatively characterize barriers and facilitators to implementing and using an ambient scribe across a large academic medical center...