Patient safety / Risk Management

Advice quality and source disclosure shape trust in AI-generated ethical advice.

Artificial Intelligence for Diagnosing Meibomian Gland Dysfunction: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy Studies.

PURPOSE: To identify, appraise, and synthesize the performance of artificial intelligence-based meib...

Scoping Review of AI-Chatbots to Support Family Caregivers.

BACKGROUND AND OBJECTIVES: Family caregivers face elevated risks for mental and physical health issu...

Ethics tools for strengthening ethics review: A scoping Review.

BACKGROUND: Ethics review of research and innovation activities face growing challenges due to rapid...

Artificial Intelligence Technologies in Nursing Clinical Decision-Making: An Umbrella Review.

AIM: To describe contemporary peer-reviewed literature on artificial intelligence in nurses' clinica...

Should AI results be disclosed in mammography reports? A randomised survey study of patient responses to concordant and discordant interpretations.

OBJECTIVES: To assess how disclosing artificial intelligence (AI) results, particularly discordant f...

The economic imperative of artificial intelligence in maternal and neonatal health: a review of evaluation benefits, frameworks, challenges, future perspectives, and limitations.

Integrating artificial intelligence (AI) into maternal and neonatal health (MNH) offers significant ...

Definitions of early COPD and predictors for disease progression: a systematic review.

INTRODUCTION: Early chronic obstructive pulmonary disease (COPD) is considered to represent the init...

Latent Supervision: A Method for Improved Performance and Calibration of Machine Learning Classification Models in Ophthalmology.

PURPOSE: Standard supervised learning assumes deterministic labels (e.g., positive or negative, pres...

AI-assisted assessment of narrative documentation quality in ART consultations using a domain-based framework.

PURPOSE: To assess narrative clinical documentation quality in assisted reproductive technology (ART...

Applications of Generative Artificial Intelligence for Strabismus Surgery Video-Based Education.

OBJECTIVE: To develop educational artificial intelligence (AI)-generated videos for patients undergo...

Ethics in publishing: From plagiarism to artificial intelligence.

The digitization of research has transformed how evidence is gathered, hypotheses are generated, and...

The need to develop health data transaction disclosure requirements to balance transparency, privacy, and progressive use.

This Viewpoint critically evaluates the impact of commodifying health data in the era of electronic ...

Constructing digital professionalism in the generative AI era: A qualitative study with nursing students and faculty.

BACKGROUND: Generative artificial intelligence (AI) is entering coursework, simulation, and assessme...

Patterns of AI Use in Clinical Work by Hospitalists: Survey Study.

BACKGROUND: Artificial intelligence (AI) tools are widely and freely available for clinical use. Und...

Digital Skills Assessments in Occupational Therapy: A Scoping Review.

IMPORTANCE: Digital skills are increasingly essential in performing daily activities. Occupational t...

Impact of quality routine health data utilisation on health service delivery outcomes in low-income and middle-income countries: a systematic review protocol.

BACKGROUND: Evidence-based decision-making in healthcare relies heavily on routine health informatio...

Replication of the Association between Retinal Aging Clock Susceptibility Genes and Retinal Age Gap in an Asian Population: The Nagahama Study.

PURPOSE: To replicate previously reported genetic associations for the retinal aging clock-quantifie...

Reporting checklist for foundation and large language models in medical research (REFINE): an international consensus guideline.

PURPOSE: To develop the REporting checklist for FoundatIon and large laNguagE models (REFINE), an in...

Assessing the completeness of reporting in imaging studies using artificial neural network models for cancer diagnosis: Adherence to the TRIPOD-AI guideline.

BACKGROUND: Developments in artificial neural networks (ANNs) offer significant promise for cancer s...

Scalable Agile Framework for Execution in AI for Medical AI Ethics Policy Design in Small- and Medium-Sized Enterprises.

Artificial intelligence (AI) is transforming patient care, but it also raises ethical questions, suc...