Patient safety / Risk Management

Health Professional Students' Use of Generative Artificial Intelligence During Clinical Placements: Cross-Sectional Online Survey Study.

BACKGROUND: Generative artificial intelligence (GenAI) is rapidly expanding in higher education and ...

Multimodal Depression Detection Through Conversational Interactions with an Emotion-Aware Social Robot: Pilot Study.

BACKGROUND: Depression affects more than 300 million people worldwide and is a leading contributor t...

Tech That Scales: A Practical Framework for Artificial Intelligence-Enabled Cancer Care in Low- and Middle-Income Countries and Underserved US Counties.

Cancer outcomes remain starkly unequal: 5-year survival rates for common malignancies in low- and mi...

External Validation of the PIPRA Model for Postoperative Delirium Prediction in a Japanese ICU Cohort: Integrating AI-Based Risk Assessment into Perioperative Care.

BACKGROUND: Postoperative delirium (POD) is a prevalent and serious complication in older surgical p...

Predicting guide dog career success using machine learning and large language models.

Guide dogs play essential roles in supporting independence and well-being of visually impaired peopl...

Variation in standards for reporting artificial intelligence research using burn image datasets raises ethical questions: A scoping review.

BACKGROUND: Accurate assessment of burn depth and area are required to guide treatment and inform pr...

Marker-Free, Automated Eyelid Assessment in Thyroid Eye Disease Using Artificial Intelligence: A Multicenter Validation Study.

OBJECTIVE: To validate "Glandy LID," a novel marker-free, deep learning-based software designed for ...

A Datasheet for the INSIGHT Moorfields Cornea Anterior Segment Dataset (CADMUS).

PURPOSE: To describe Cornea Anterior Segment Dataset from Moorfields via INSIGHT (CADMUS), a large m...

Pilot evaluation of a large language model-mediated pre-consultation interview for vestibular disorders.

OBJECTIVE: Efficient and high-quality history taking is central to vestibular diagnosis, but it is o...

Monitoring airline pilot mental health: a 3PM framework utilising digital phenotyping and AI.

The aeromedical certification of commercial airline pilots relies on periodic, self-disclosure-depen...

Deep Learning and Experimental Validation of BRCA1-Associated Protein-1 Missense Variant Pathogenicity in Uveal Melanoma.

OBJECTIVE: To benchmark the pathogenicity predictions of AlphaMissense, a deep learning model, again...

From risk to resilience: A narrative review on strengthening veterinary clinical biosecurity to prevent healthcare-associated infections.

Veterinary clinical biosecurity is key to preventing infectious diseases in animal clinics, particul...

The Sufficiency of Disclosure in Medical AI Patents: Evidence from 865 Granted Patents Across the US, China, and the EU.

The rise of health care AI raises concerns over whether patent disclosure supports reproducibility a...

Bounded Supportive Companionship: How Chinese Young Adults Seek Emotional Support from Generative AI Chatbots.

Many young adults now turn to generative AI chatbots for emotional support, yet little is known abou...

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 t...

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 ...

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 ...

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 ear...

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 f...

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 hypoth...

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