Patient safety / Risk Management

Transforming Systematic Reviews: Evaluating a Fine-Tuned Large Language Model for Abstract Screening in Uveitis and Retinal Vasculitis: Fine-Tuned LLM for Review Screening.

PURPOSE: To evaluate the classification performance of UveAItis, a domain-specific large language model (LLM) fine-tuned for automated title and abstract screening in systematic reviews, using retinal vasculitis as a prototype. DESIGN: Comparative evaluation study embedded within a registered systematic review and meta-analysis (PROSPERO: CRD42023489232). SUBJECTS: A total of 1030 randomly selecte...

Blockchain-Based Dynamic and Revocable Consent for Secondary Health Data Use: Systematic Review.

BACKGROUND: The secondary use of health data holds substantial potential for advancing biomedical research, strengthening population health analytics, and enabling artificial intelligence-driven decision-making support. Yet, ensuring that such reuse respects patient autonomy, privacy, and regulatory obligations remains a major challenge. Conventional consent mechanisms are typically static, diffic...

[More than just technology: autonomous AI in ophthalmological care].

Autonomous artificial intelligence (AI) systems are finding their way into ophthalmological care, particularly in imaging diagnostics (fundus photogra...

Emergency Nurses' Experiences With Artificial Intelligence-Driven Triage Clinical Decision Support Systems: A Protocol for a Systematic Review of Qualitative Studies.

INTRODUCTION: Emergency department overcrowding remains a critical global challenge, and artificial intelligence-driven clinical decision support syst...

Barriers and enablers for publishing results of randomized trials: a cross-sectional survey of principal investigators in sub-Saharan Africa.

OBJECTIVES: To investigate the views and experiences of principal investigators (PIs) based in sub-Saharan Africa (SSA) regarding publication bias of ...

Prognostic prediction models for psoriatic arthritis in psoriasis: A systematic review.

BACKGROUND: Psoriatic arthritis is a chronic inflammatory arthropathy that affects up to 22% of individuals with psoriasis. Identifying patients at hi...

Ethical Considerations in Personal Health Large Language Models.

Personal health large language models (PH-LLMs) have rapidly evolved from research prototypes into consumer-facing, data-linked systems that support s...

A CD index guided ensemble framework for screening potentially disruptive patent candidates in artificial intelligence.

Disruptive technologies can reconfigure innovation trajectories and create new market opportunities, yet their early detection remains difficult becau...

Two sides of the same algorithm: a qualitative study of ART professionals' and patients' views on the use of machine learning for embryo assessment and selection.

PURPOSE: Machine learning (ML) is increasingly being introduced into assisted reproduction clinical practice, particularly for embryo grading and sele...

Leveraging Natural Language Processing and Structured Scoring to Evaluate Operative Note Quality in Surgical Training.

OBJECTIVE: To evaluate resident versus attending operative notes using a two-phase approach combining natural language processing (NLP) diffing and st...

Bridging the Disclosure Gap: AI's Potential Role in Suicide Prevention.

Conversational artificial intelligence (AI) tools-specifically, general-purpose large language models-are increasingly used by individuals to disclose...

Reimagining nursing practice in the era of AI: a qualitative systematic review and meta-synthesis of nurses' lived experiences.

INTRODUCTION: The integration of artificial intelligence (AI) into healthcare is transforming nursing practice, introducing both opportunities and cha...

Challenges for implementation of "Enhanced Recovery After Surgery" (ERAS) protocols and artificial intelligence support tools in resource-limited countries.

Surgical patient safety remains a major challenge in resource-limited settings, where preventable harm may be increased by delayed assessment, limited...

Large language models integrated into brain-computer interfaces for communication and control: a systematic review.

Large language models (LLMs) are starting to be coupled with brain-computer interfaces (BCIs) for assistive communication, but the resulting systems d...

Effectiveness of Artificial Intelligence-Based Nursing Interventions for Chronic Illnesses Care: An Umbrella Review.

BACKGROUND: Artificial intelligence (AI)-based nursing interventions are increasingly being employed to manage chronic illnesses; however, their defin...

A Critical Systematic Review of Modelling Approaches and Methodologies used in Hyperlipidaemia Economic Evaluations.

BACKGROUND AND OBJECTIVES: Health economic modelling integrates evidence from multiple sources and relies on transparency to support reimbursement dec...

Hazard-portfolio patterns in US food recall severity reveal transferable pathogen signals and firm-specific compliance signals.

The U.S. FDA classifies food recalls into three severity tiers (Class I / II / III), a decision that drives public notification urgency and regulatory...

Early Structure-Function Correlates in Neovascular Age-Related Macular Degeneration Using Artificial Intelligence-Derived OCT Biomarkers.

PURPOSE: To correlate automated artificial intelligence-based retinal fluid quantification with ellipsoid zone (EZ) thickness and loss, macular neovas...

Deep Learning-Guided Retinal Vascular Morphometric Quantification in Cerebral Autosomal Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy Mouse Models.

PURPOSE: To develop and validate an explainable deep learning-guided workflow to localize and quantify focal retinal luminal pathology on fundus fluor...

Machine Learning for Intraoperative Bleeding Prediction in Patients Undergoing Surgery: Scoping Review.

BACKGROUND: Intraoperative bleeding is a critical event that impacts surgical safety and patient outcomes. Machine learning (ML) has demonstrated pote...