Patient safety / Risk Management

Prospective Data Curation Enables High-Performance Artificial Intelligence for Diabetic Retinopathy Screening in a Resource-Limited Setting.

PURPOSE: To determine whether a high-quality, prospectively curated dataset can, by itself, enable the development of robust and clinically effective artificial intelligence as a medical device (AIaMD) models for diabetic retinopathy (DR) screening, even with minimal artificial intelligence (AI) infrastructure. This study evaluates whether careful data curation, standardized acquisition, and rigor...

Fluid Volumes Longitudinal Modeling to Predict Atrophy and Fibrosis in Neovascular Age-Related Macular Degeneration.

PURPOSE: To evaluate the impact of retinal fluid volumes on the development of atrophy and fibrosis in neovascular age-related macular degeneration (nAMD) during routine care. DESIGN: Retrospective longitudinal study. PARTICIPANTS: Treatment-naïve eyes with nAMD from the Vienna Imaging Biomarker Eye Study (2007-2018), initiating anti-VEGF therapy. METHODS: Volumes of intraretinal fluid (IRF), subr...

To disclose or not to disclose: Peer influence and psychological factors in students' use of generative artificial intelligence.

BACKGROUND: The integration of generative artificial intelligence (GenAI) into higher education has transformed academic practices and redefined the b...

Predicting Nosocomial Infections in Hematologic Patients: A Machine Learning Model Based on Dynamic Body Temperature Trajectories.

AIMS: To identify body temperature dynamic patterns and develop a machine learning model for the early detection of nosocomial infections. DESIGN: A r...

Letter regarding "The role of reviewers in the era of systematic reviews and meta-analysis: A practical guide for researchers".

This correspondence addresses three significant concerns regarding the current peer review process for systematic reviews and meta-analyses. First, wh...

Developing and Validating a Coding Scheme for Clinical Reasoning in History Taking Using Generative AI-Based Virtual Patients: Systematic Text Condensation Approach.

BACKGROUND: Effective history taking helps clinicians identify key symptoms and form accurate hypotheses. Generative artificial intelligence (GenAI)-b...

Composition, Pediatric Representation, and Transparency Disclosure Among FDA-Cleared Radiology Artificial Intelligence Products.

'Malnutrition Receives High Priority': Nurses' Experiences in Providing Nutritional Support in Hospitalized Patients-A Qualitative Study.

AIMS: To describe nurses' experiences in managing malnutrition in hospitalized adults and providing support along an interprofessional nutritional sta...

A new peer reviewer? Comparing AI with human performance in randomized controlled trial risk-of-bias assessment.

BACKGROUND: Risk-of-bias (RoB) assessment is essential for evidence synthesis but remains time-consuming and inherently subjective. Artificial intelli...

The Role of Large Language Models in Teaching Psychiatric Semiology: A Systematic Review.

INTRODUCTION: Teaching psychiatric semiology faces challenges such as the limited availability of real patients for educational purposes and a shortag...

Comparing the Generalizability of Multiregional versus Locally Trained Deep Learning Models for Trachoma Detection.

OBJECTIVE: To test the advantage of geographically diverse, multiregional training of artificial intelligence models over single-region training for d...

Predictive models for ICU patient readmission based on machine learning: A systematic review.

BACKGROUND: Artificial intelligence (AI) prediction models can accurately identify high-risk populations by integrating multi-dimensional clinical dat...

To be Healed or Hacked? - User-Centered Ethical Design for Embodied AI in Mental Health Care.

The global prevalence of mental health disorders has created a substantial treatment gap. To support clinicians and increase access to care, researche...

Using natural language processing to assess MDD psychotherapy patterns among Veterans Affairs patients with suicide risk.

Major depressive disorder (MDD) is a leading risk factor for suicide. Within the US Department of Veterans Affairs (VA), psychotherapy is widely used ...

Artificial Intelligence Tools for GI Research: A Practical Guide.

BACKGROUND AND AIMS: Artificial intelligence (AI) tools, including large language models (LLMs) such as ChatGPT, Claude, and Gemini, are increasingly ...

AI Chatbots for Mental Health Self-Management: Lived Experience-Centered Qualitative Study.

BACKGROUND: Large language models (LLMs) now enable chatbots to engage in sensitive mental health conversations, including depression self-management....

Semantic interoperability and price analytics in hospital transparency data: a multi-stage pipeline with NLP and machine learning.

PURPOSE: The U.S. Hospital Price Transparency mandate requires public disclosure of machine-readable files (MRFs), yet profound data heterogeneity hin...

Socio-technical risks of clinical speech-to-text systems: Transparency, privacy, and reliability challenges in AI-driven documentation.

BACKGROUND: AI-driven speech-to-text (STT) documentation systems are increasingly adopted in clinical settings to reduce documentation burden and impr...

AI disclosure uncertainty in nursing education: A pedagogical scaffold for professional learning.

Generative artificial intelligence (AI) is rapidly reshaping how nursing students produce and communicate academic work, intensifying questions about ...

Artificial intelligence and radiomics for pediatric brain tumor classification and molecular characterization: a systematic review.

BACKGROUND: Artificial intelligence (AI) and radiomics are increasingly applied in pediatric neuroradiology to enhance diagnostic precision. However, ...