Patient safety / Risk Management

Longitudinal Study of Macular Preservation and Geographic Atrophy Progression in Age-Related Eye Disease Study 2.

PURPOSE: To investigate the natural history of macular tissue preservation in geographic atrophy (GA) by evaluating the relationship between the macular tissue integrity index (MTII) and best-corrected visual acuity (BCVA) over time. DESIGN: Post hoc analysis of Age-Related Eye Disease Study 2 (AREDS2), a multi-center, randomized clinical trial. PARTICIPANTS: Participants from the AREDS2 fundus au...

Peripapillary Choroidal Vascularity Index for Differentiating Papilledema from Pseudopapilledema: A Deep Learning-Based Approach.

PURPOSE: To compare the peripapillary choroidal vascularity index (PPCVI) in eyes with papilledema secondary to idiopathic intracranial hypertension (IIH) and pseudopapilledema due to optic disc drusen (ODD) using a novel deep learning algorithm. DESIGN: A retrospective observational cohort study. SUBJECTS: The study included 30 eyes of 15 patients with papilledema secondary to IIH, 30 eyes of 15 ...

Exploring the Endorsement and Implementation of Artificial Intelligence Guidelines in Leading Orthopaedic and Sports Medicine Journals: A Cross-Sectional Study.

BACKGROUND: The integration of artificial intelligence (AI) in orthopaedics and sports medicine (OSM) has transformed clinical practice and scientific...

Quantitative Analysis of Instrument Motion Paths in Cataract Surgery across a Resident's Training.

PURPOSE: To objectively quantify the motion paths of surgical instruments during cataract surgery across a resident's training, identifying patterns o...

Practical guide for food scientists to build AI: data, algorithms, and applications.

Artificial intelligence (AI) is rapidly transforming scientific disciplines, yet its adoption in food science remains fragmented and often constrained...

Exploring AI integration in continuing pharmacy education: A survey of emerging institutional practice and initial guidance.

INTRODUCTION: The rapid evolution of artificial intelligence (AI) is reshaping pharmacy continuing education (CE), offering innovative content generat...

The use of machine learning to predict pharmacological therapy in gestational diabetes: A scoping review.

AIMS: Early identification of pharmacological therapy for gestational diabetes mellitus (GDM), a common pregnancy complication, through machine learni...

Comparison of RETFound and a Supervised Convolutional Neural Network for Detection of Referable Glaucoma from Fundus Photographs.

PURPOSE: To compare the performance of a vision transformer-based foundation model (RETFound) and a supervised convolutional neural network (VGG-19) f...

Special AAO Report: Recommendations on Screening for Hydroxychloroquine Retinopathy (2025 Revision).

BACKGROUND: The American Academy of Ophthalmology recommendations on screening for hydroxychloroquine (HCQ) retinopathy are now a decade old. This rev...

Risk prediction models for adverse drug reactions in pediatrics: a scoping review.

INTRODUCTION: Predictive models play a critical role in enhancing medication safety in clinical practice. While multiple models for adverse drug react...

Accuracy and Readability of Chat Generative Pre-Trained Transformer-4 Omni in Answering Ophthalmology Patient Questions.

PURPOSE: To assess the quality of Chat Generative Pre-Trained Transformer-4 Omni (ChatGPT-4o) responses to questions submitted by patients through Epi...

Data-Driven Detection of Subclinical Keratoconus via Semi-Supervised Clustering of Multidimensional Corneal Biomarkers.

PURPOSE: To objectively identify subclinical keratoconus (SKC) from a large sample of healthy and keratoconus (KC) patients via a data-driven framewor...

Detecting Inflammation in Fundus Photographs Using Machine Learning.

PURPOSE: To utilize a machine learning model for employing ultra-widefield fundus photograph (UWFFP) as a surrogate marker for ultra-widefield fluores...

Artificial intelligence methods in gestational diabetes mellitus prediction: A systematic literature review.

Gestational diabetes mellitus (GDM) is the most common metabolic disorder in pregnancy, posing risks to both maternal and neonatal health. Artificial ...

Attention-Based Multimodal Deep Learning for Uveal Melanoma Classification Using Ultra-Widefield Fundus Images and Ocular Ultrasound.

PURPOSE: To develop and evaluate a deep learning model that integrates ultra-widefield fundus photography and B-scan ultrasonography for automated cla...

Biased minds, sensitive hearts: Divergent neural signatures of interpersonal sensitivity in atypical and non-atypical depression.

BACKGROUND: Atypical depression (AD) is a distinct subtype of depression, with interpersonal sensitivity as one of its core characteristics. However, ...

A Window Into Vulnerability and Support: At-Risk Mothers' Perinatal Experiences and Perspectives on mHealth-Based Care.

AIM: To examine the perinatal experiences of at-risk mothers and their engagement with mobile-health-based care. DESIGN: A qualitative descriptive stu...

Machine Learning to Predict Extranodal Extension in Head and Neck Squamous Cell Carcinoma: A Systematic Review and Meta-Analysis.

OBJECTIVE: To evaluate the clinical utility of machine learning algorithms (MLAs) in diagnosing extra-nodal extension (ENE) using CT imaging in HNSCC....

Prevalence and Characteristics of Generative Artificial Intelligence Policies in Vascular Surgery Journals: A Cross-Sectional Review.

BACKGROUND: The integration of generative artificial intelligence (GenAI) into academic publishing presents new opportunities and ethical challenges. ...

Public Preferences for Emerging Cancer Screening Modalities: A Systematic Review of Discrete Choice Experiments.

BACKGROUND: Early detection of cancer reduces mortality and morbidity, but conventional screening methods often face challenges such as invasiveness, ...