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Patient safety / Risk Management

Latest AI and machine learning research in patient safety / risk management for healthcare professionals.

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Showing 442-462 of 7,289 articles
Convolutional Graph Isomorphism Network to Detect Glaucomatous Visual Field Defects.

PURPOSE: To evaluate the performance of a deep learning (DL) model based on graph isomorphism networ...

(2)
Dec 2025 41641113
Artificial Intelligence-Based Delirium Prediction Model for Post-Cardiac Surgery Patients: A Scoping Review.

BACKGROUND: Delirium is a common complication following cardiac surgery and significantly affects pa...

Dec 2025 41410092
ReticularNet: Automated Pixel-Level Segmentation of Reticular Pseudodrusen on Near-Infrared Reflectance Images by Deep Learning.

OBJECTIVE: Reticular pseudodrusen (RPD) represent an important biomarker in age-related macular dege...

Dec 2025 41626424
Artificial Intelligence in Pediatric Oncology Care: Pediatric Nurses' Perspectives and Future Implications.

OBJECTIVES: This study aimed to explore pediatric oncology nurses' perspectives on the integration o...

Dec 2025 41402138
Automated Feature Segmentation of Ultra-Widefield OCT Images.

OBJECTIVE OR PURPOSE: To develop a lightweight neural network for automated cross-sectional and en f...

Dec 2025 41625354
CEO perceived personality and corporate risk disclosure in prospectus: A multimodal machine learning analysis.

This study examines how CEO personality traits influence IPO risk disclosure quality. We employ a no...

Dec 2025 41389399
Performance of GPT-5 Frontier Models in Ophthalmology Question Answering.

PURPOSE: Novel large language models (LLMs) such as Generative Pretrained Transformer-5 (GPT-5) inte...

Dec 2025 41552655
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...

Dec 2025 41626422
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 s...

Nov 2025 41552652
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 ac...

Nov 2025 41552663
Practical guide for food scientists to build AI: data, algorithms, and applications.

Artificial intelligence (AI) is rapidly transforming scientific disciplines, yet its adoption in foo...

Nov 2025 41325662
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 e...

Nov 2025 41273968
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 com...

Nov 2025 41254474
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 ...

(1)
Nov 2025 41552656
Special AAO Report: Recommendations on Screening for Hydroxychloroquine Retinopathy (2025 Revision).

BACKGROUND: The American Academy of Ophthalmology recommendations on screening for hydroxychloroquin...

Nov 2025 41232611
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 prac...

Nov 2025 41217606
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) respon...

(1)
Nov 2025 41488567
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 ke...

Nov 2025 41488568
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