Patient safety / Risk Management

Responsible use of large language models in manuscript authorship, peer review, and editorial processes: a Delphi consensus among editors-in-chief of anaesthesia and pain medicine journals (RULE-AP).

This article presents a Delphi consensus developed by a panel of editors-in-chief of anaesthesiology...

Generative artificial intelligence in dementia care: a scoping review protocol on nursing roles, experiences and ethical perspectives.

INTRODUCTION: Generative artificial intelligence (GAI), including large language models and multimod...

Development and proof-of-concept of a treatment target recommendation algorithm in the context of cognitive processing therapy.

Background: Cognitive Processing Therapy (CPT) is an effective, widely supported treatment for PTSD,...

Accurate Prediction of Humphrey 10-2 Visual Fields in Glaucoma from a Single Rapid IMOvifa 24plus(1-2).

PURPOSE: Predicting the Humphrey Field Analyzer (HFA) 10-2 visual field (VF) using machine learning ...

Neurofeedback for autism spectrum disorder: Current evidence, challenges, and future directions.

Neurofeedback therapy (NFT) has emerged as a promising noninvasive intervention for autism spectrum ...

Novel Systemic Associations of Idiopathic Epiretinal Membrane Identified via Machine Learning.

PURPOSE: To discover novel systemic associations that may lead to idiopathic epiretinal membrane (iE...

AI Disclosure Is a Two-Way Street: Commentary on an article by Josh Major, BS, et al.: "Exploring the Endorsement and Implementation of Artificial Intelligence Guidelines in Leading Orthopaedic and Sports Medicine Journals. A Cross-Sectional Study".

Improving Fairness and Mitigating Bias in Multicenter Electronic Health Records Models to Predict Glaucoma Outcomes.

PURPOSE: To evaluate the effectiveness and generalizability of bias mitigation methods in glaucoma p...

The impact of generative AI on social media: an experimental study.

Generative Artificial Intelligence (AI) tools are increasingly deployed across social media platform...

CLAIRE: a unified framework for reporting and assessing artificial intelligence in diagnostic imaging.

Artificial intelligence (AI) models for diagnostic imaging face reproducibility challenges due to in...

Predicting neoadjuvant immunotherapy efficacy with machine learning models in non-small cell lung cancer: A systematic review and meta analysis.

BACKGROUND: The response of resectable non-small cell lung cancer (NSCLC) to neoadjuvant immunothera...

Enhancing fairness and standardization in AI-versus-physician diagnostic comparisons: A scoping review.

OBJECTIVE: The growing number of studies directly comparing artificial intelligence (AI) to physicia...

Predicting the need for electroconvulsive therapy via machine learning trained on electronic health record data.

OBJECTIVES: Electroconvulsive therapy (ECT) is an effective treatment of severe manifestations of me...

Machine Learning for Predicting Venous Thromboembolism After Joint Arthroplasty: Systematic Review of Clinical Applicability and Model Performance.

BACKGROUND: There is increasing research on machine learning in predicting venous thromboembolism af...

PUMAA: Establishing a protocol for utilizing machine learning in forensic anthropological analyses.

The use of machine learning (ML) models in forensic anthropology (FA) has increased in the last half...

The data-driven decision-making, sustainable value creation, and international firm performance: Micro-level evidence based on AI language models.

Data-driven decision-making (DDDM) has become integral to managerial and organizational processes in...

Survey of Guidance for Authors on the Use of Generative Artificial Intelligence in Pharmaceutical Journals.

BACKGROUND: Since November 2022, conversational tools powered by generative artificial intelligence ...

Quantitative Assessment of the Extent of Retinal Vascularization in Retinopathy of Prematurity.

OBJECTIVE: To evaluate pixel-based measurements of the minimum nasal and temporal extent of retinal ...

Generative AI Chatbots as Digital Adjuncts for Sexual Health Information After Prostate Cancer in Men Who Have Sex With Men: Auto-Netnographic Study.

BACKGROUND: Sexual health concerns following prostate cancer treatment are common yet often insuffic...

Beyond the algorithm potential: orthodontic tooth-extraction decisions in the age of AI.

A COMMENTARY ON: Ziaei, S., Samani, D., Behjati, M. et al. Accuracy of artificial intelligence in or...

Disability risk prediction models in community-dwelling older adults: a systematic review.

BACKGROUND: Early identification of disability risk in community-dwelling older adults has emerged a...