Patient safety / Risk Management

Factors Associated with Machine Learning-Based Predictions of Retinal Aging Using Teleretinal Screening Images from Patients with Diabetes.

PURPOSE: To identify factors associated with accelerated retinal aging based on machine learning pre...

Simultaneous Segmentation of Geographic Atrophy in Longitudinally Acquired Fundus Autofluorescence Images.

PURPOSE: Accurately measuring geographic atrophy (GA) progression in clinical trials is challenging,...

Algorithmic bias and transparency in artificial intelligence tools for nursing education: A scoping review.

AIM: To synthesize literature on algorithmic bias and transparency in artificial intelligence tools ...

Assessing Healthcare Professionals' Attitudes Toward Artificial Intelligence in Turkey: A Cross-Sectional Study.

OBJECTIVES: To assess healthcare professionals' attitudes toward artificial intelligence (AI) in hea...

Evaluating guideline adherence in LLM studies using LLMs.

PURPOSE: To evaluate the capability of large language models (LLM), specifically GPT-4 and o1, in as...

Exploring Clinician Perspectives on Artificial Intelligence in Primary Care: Qualitative Systematic Review and Meta-Synthesis.

BACKGROUND: Recent advances have highlighted the potential of artificial intelligence (AI) systems t...

Post-secondary student adoption of mental health labels through their use of social media: a scoping review.

BACKGROUND: Social media is a significant source of information for post-secondary students, who are...

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 dege...

Machine learning-based COVID-19 prognostic models lag behind in reporting quality: findings from a TRIPOD/TRIPOD + AI systematic review.

BACKGROUND: Reporting of COVID-19 prognostic models frequently falls short of established standards....

Explainable AI in Cardiology Diagnostics: A Systematic Review of Machine Learning, Meta-heuristic Optimization, and Clinical Text Mining for Coronary Artery Disease.

BACKGROUND: This systematic review compiles evidence and examines how various artificial intelligenc...

A Multimodal Multitask Artificial Intelligence Model for Orthokeratology Contact Lens Fitting: An Integrated Framework to Enhance Lens Centration and Myopia Control Effect.

PURPOSE: To develop a multimodal, multitask artificial intelligence (AI) model to classify postfitti...

A Deep Learning Framework for Predicting Teprotumumab Treatment Response in Thyroid Eye Disease.

PURPOSE: To develop and evaluate a deep learning-based framework for quantifying thyroid eye disease...

Functional neurobehaviour of the human fetus: a comprehensive framework for prenatal assessment using 4D ultrasound and AI.

OBJECTIVES: To evaluate current evidence on prenatal neurobehavioural assessment using four-dimensio...

AI for caries detection: how close are we to clinical use?

A COMMENTARY ON: Abbott LP, Saikia A, Anthonappa RP. Artificial intelligence platforms in dental car...

Author Disclosure of Use of AI in Submissions to 13 JAMA Network Journals.

Are diagnostic technologies for alzheimer's disease and dementia cost-effective? A systematic review of economic evaluations.

BACKGROUND: Alzheimer's disease (AD) and dementia pose a significant clinical and economic burden gl...

Effectiveness of roadside alcohol testing in reducing fatal accidents and fatal drinking-driving accidents: A multi-city study in China.

This study examines the dynamic relationship between roadside alcohol check rates and traffic mortal...

A Framework for Healthcare from the Eye: Oculomics as a Powerful Window to Systemic Health.

PURPOSE: To present a comprehensive framework for integrating oculomics to assess ocular and systemi...

Generative Artificial Intelligence-Enabled Saliency Analysis of Eye Tracking in Cerebral/Cortical Visual Impairment (SET-CVI).

PURPOSE: Children with cerebral/cortical visual impairment (CVI) have neurological conditions that i...

Deep Learning-Based Classification of Slit-Lamp Photograph Quality in Microbial Keratitis.

OBJECTIVE: Microbial keratitis (MK) is one of the leading causes of blindness in low- and middle-inc...

Evolution of Oculomics: From Naked Eye Observations to Artificial Intelligence over 100 Years.

PURPOSE: To provide a historical review tracing the evolution of oculomics, the study of ocular biom...