Risk Management

CT in adult patients with Polytrauma: current practices, protocol optimization, structured reporting and future directions.

Computed tomography [CT] is the frontline imaging modality for the assessment of polytrauma patients because of its speed, diagnostic accuracy and influence on immediate management. Ever since whole-body CT [WB-CT or "pan-scan"] was adopted, there has been ongoing debate about patient selection, optimal protocols and acquisition strategies, radiation safety, and its integration into streamlined tr...

Investigating the feasibility and acceptability of the TeleRehabilitation of balance clinical and economic Decision Support System (TeleRehaB DSS) in adults at risk of falls: study protocol for a multicentre clinical trial.

INTRODUCTION: Falls are a significant concern for older adults, particularly those with neurological, vestibular, cognitive and post-viral conditions, due to dizziness and imbalance. Conventional balance rehabilitation programmes, though effective, face challenges in adherence and accessibility. The TeleRehabilitation Decision Support System (TeleRehaB DSS) uses artificial intelligence (AI) and mo...

Observational multicentre registry to update key interventions and new approaches with artificial intelligence for heart failure (OKINAWA-HF): a retrospective medical record-derived registry study protocol.

INTRODUCTION: The efficacy of guideline-directed medical therapy (GDMT) for heart failure has been established in clinical trials, but trial populatio...

Predicting Risk Factors of Pressure Injury for Perioperative Patients Through Machine Learning With SHapley Additive exPlanations Based on Hospital Information System.

OBJECTIVE: Perioperative pressure injuries (PIs) are a common complication of surgical hospitalization that can lead to serious health problems, compr...

A machine learning-based screening tool for classifying post-traumatic stress disorder in firefighters: Firefighter Latent Risk Evaluation (FLARE).

BACKGROUND: The prevalence of post-traumatic stress disorder (PTSD) among South Korean firefighters is likely to be under-reported because of stigma a...

An Explainable AI Framework for Continuous Monitoring, Risk Stratification, and Clinical Decision Support in Primary Biliary Cholangitis: Protocol for a Multiphase Development and Validation Study.

BACKGROUND: Primary biliary cholangitis (PBC) management remains limited by reliance on static biochemical markers, fragmented assessment of symptom b...

Early risk prediction in endometrial cancer using biomarker and machine learning models: a systematic review and meta-analysis protocol.

BACKGROUND: Globally, endometrial cancer (EC) is among the most prevalent gynaecological cancers, with rising incidence driven by demographic and meta...

Performance of multimodal Large Language Models in misdiagnosed dermatologic cases: a pilot study on diagnostic accuracy and human error replication.

BACKGROUND: Multimodal Large Language Models (LLMs) are increasingly positioned as diagnostic assistants in dermatology. However, current research oft...

Exploring Non-Embodied AI-Based Digital Companions for Older Adults in Aging and Care Contexts: Protocol for a Scoping Review.

BACKGROUND: Conversational artificial intelligence (AI) technologies are increasingly positioned as a response to social isolation, loneliness, and un...

Identification of small-molecule TNF-α inhibitor candidates using machine learning-guided screening and multiscale molecular modelling.

Lumbar disc herniation (LDH) is a major cause of chronic low back pain, in which tumor necrosis factor-alpha (TNF-α) plays a central role in inflammat...

Disparate privacy risks from medical AI.

Medical artificial intelligence (AI) models hold the promise to improve global access to high-quality diagnostics1. However, the training data underly...

Consensus on the use of artificial intelligence in the management and measurement of vestibular schwannomas: A protocol for a modified delphi consensus.

INTRODUCTION: The assessment of vestibular schwannomas (VS) requires a standardized approach as growth is a key element in defining treatment strategy...

Knowledge, Benefits, and Challenges of ChatGPT Use in Education Among Nursing Students: A Descriptive, Cross-Sectional Study.

BackgroundWith the growing integration of artificial intelligence (AI) tools like ChatGPT in education, it is essential to understand how nursing stud...

The reproducibility gap in graph neural network workflows for cell dynamics: A checklist-driven case study.

As part of a Global BioImage Analysts' Society (GloBIAS) initiative, we evaluated the reproducibility of a Graph Neural Network (GNN) study on cell dy...

A fully inductive inference protocol for population GNNs in single-subject brain disorder diagnosis.

Population graph-based Graph Neural Networks (GNNs) have demonstrated superior performance in brain disease diagnosis by modeling inter-subject relati...

Data-Driven Profiles of Youth Executive Function and Their Longitudinal Associations With Externalizing Problems.

OBJECTIVE: Executive function (EF) deficits are observed in externalizing disorders. However, research has yet to explore the specificity of these ass...

Innovative screening for OSAS in patients with head and neck cancer using the apneal application: Protocol for a prospective single-centre study.

INTRODUCTION: OSAS is a common yet underdiagnosed condition, particularly among patients with head and neck cancers (HNC). Anatomical changes caused b...

Barriers and facilitators to developing and implementing artificial intelligence-based clinical decision support in the emergency department: a qualitative study.

OBJECTIVES: This study examined why artificial intelligence (AI)-based clinical decision support tools have had limited clinical translation in the em...

Development of Data-Driven Models for Just-in-Time Digital Self-Management Advice to Improve Physical Functioning in Hip and Knee Osteoarthritis: Protocol for the e-cOAch Cross-Over Study.

BACKGROUND: Clinical guidelines recommend a stepped-care strategy for patients with hip and knee osteoarthritis that begins with nonoperative approach...

Diagnostic yield of electroencephalographyin the emergency department: protocol for the EMINENCE-M multicentre retrospective observational study.

INTRODUCTION: Emergency EEG (emEEG) is increasingly used in the emergency department (ED), but its diagnostic yield remains uncertain. This protocol d...