Patient safety / Risk Management

Digital Health in Midwifery Practice: A Qualitative Review of Midwives' Experiences and Perceptions.

AIM: To synthesize qualitative evidence on midwives' experiences and perceptions regarding the use o...

Ambiguity of Disclosure Criteria of Artificial Intelligence Use in Medical Writing.

Machine learning prediction of PICC-associated thrombotic complications in critically ill patients.

BACKGROUND: Peripherally inserted central catheters (PICCs) are widely used vascular access devices ...

Clinical governance of artificial intelligence in internal medicine: a literature-informed five-pillar framework for complex care.

Most artificial intelligence (AI) governance frameworks in healthcare address model development, rep...

Deep Learning-Based Quantification of Vitreous Hyperreflective Foci as a Biomarker for Intraocular Inflammation.

OBJECTIVE: To develop and validate an artificial intelligence (AI)-driven pipeline to quantify vitre...

Physics-informed machine learning for cross-study prediction of oil-water membrane fouling.

Performance decay driven by coupled transport, accumulation, and removal processes remains a central...

Rapid Access Macular Screening and Evaluation: A Datasheet for a Dataset to Diagnose and Triage Macular Diseases.

PURPOSE: Macular disease can cause significant visual morbidity. Timely and accurate diagnosis and m...

Detection of Microbehavior Intervals for Predicting Mental Health: Clinically Relevant and Advanced Multimodal Temporal Analysis.

BACKGROUND: Health care workers (HCWs) face sustained psychological demands that place them at heigh...

Image-Quality-Aware Multimodal Artificial Intelligence for Automated Structured OCT Report Generation in Glaucoma Evaluation.

OBJECTIVE: To develop an explainable multimodal large language model (MM-LLM) that (1) screens optic...

Artificial intelligence policy among nursing journals.

BACKGROUND: The rapid integration of generative artificial intelligence (AI) into scholarly work is ...

Digital phenotyping using wearable-determined physical behaviours and machine learning to detect depression and anxiety symptoms in a general population.

BACKGROUND: Depression and anxiety are widespread mental health disorders, yet their diagnosis remai...

Artificial intelligence in drug discovery for fungal diseases: a scoping review.

BACKGROUND: Fungal diseases represent a global health threat, with high mortality rates and growing ...

Fusing Structural Phenotypes with Functional Data for Early Prediction of Primary Angle-Closure Glaucoma Progression.

PURPOSE: To classify eyes as slow or fast glaucoma progressors in patients with primary angle-closur...

A Disorder-Aware Computational Framework to Identify Structurally Tractable Targets in Proliferative Vitreoretinopathy.

OBJECTIVE: Proliferative vitreoretinopathy (PVR) remains a major cause of failure after rhegmatogeno...

Ethics and Fairness Considerations in AI-Based Deception Detection Technologies for Mental Health Applications: Focus Group Study.

BACKGROUND: Artificial intelligence (AI) technologies are increasingly being integrated into mental ...

Patients' Perspectives on the Implementation of AI in Radiological Diagnostics: Focus Group Study.

BACKGROUND: Rapid developments in artificial intelligence (AI) will enable its widespread use in rad...

Deep Learning and Radiomics Assessment for Highly Myopic Glaucoma Detection Based on Fundus Photography.

PURPOSE: To investigate spatially distinctive features in fundus photographs of highly myopic glauco...

Possible misplaced perception of moral shame in AI-use disclosure.

The concept of a moral shame associated with the disclosure of artificial intelligence (AI) use in r...

Patient Perceptions and preferences for the disclosure of artificial intelligence generated draft replies to electronic messages - A qualitative study.

BACKGROUND: Since their public release, artificial intelligence-generated draft replies (GDRs) to pa...

Toward an Ethical Framework for Patient-Facing Artificial Intelligence in Clinical Settings.

Patient-facing artificial intelligence in clinical settings raises distinct ethical challenges that ...

Expert Evaluation of an AI Governance and Ethics Framework Implemented at a University Hospital.

BACKGROUND: Artificial intelligence (AI) is increasingly becoming an integral part of everyday life,...