Risk Management

Ethical aspects of artificial intelligence use in neonatal intensive care units: a scoping review.

UNLABELLED: This study aims to map ethical, legal, social, professional, and implementation issues associated with artificial intelligence (AI) in neonatal intensive care units (NICUs). A JBI-informed scoping review using the population-concept-context framework was reported according to PRISMA-ScR. Peer-reviewed English-language articles published from 1 January 2016 to 31 May 2026 were eligible....

Can artificial intelligence accurately assess systematic review quality? Benchmarking large language models for AMSTAR 2 appraisal in dental evidence synthesis.

OBJECTIVE: To evaluate the accuracy and reliability of three AI platforms ChatGPT, Perplexity, and Google Gemini in assessing the methodological quality of systematic reviews using the AMSTAR 2 checklist, compared with expert manual evaluation in dental research. METHODS: A cross-sectional comparative study was conducted to assess the performance of three AI platforms ChatGPT, Perplexity, and Goog...

Using Mobi-L RYMO to target spasticity in patient with chronic stroke: A case series study.

BACKGROUND/OBJECTIVES: Stroke represents one of the main causes of permanent disability, with persistent upper limb motor deficits in 50% of patients;...

Local recurrence in rectal cancer: from detection to structured reporting.

Despite advances in total mesorectal excision and neoadjuvant therapy, locally recurrent rectal cancer remains a clinically important source of pelvic...

New Perspectives on Prosthetically Guided Implant Placement Using Robotic-Assisted Surgery: A Case Report.

PURPOSE: To describe a new clinical protocol for prosthetically guided implant placement with the assistance of a robotic system. MATERIALS AND METHOD...

When Multimodal Fusion Fails: Contrastive Alignment as a Necessary Stabilizer for TCR-Peptide Binding Prediction.

MOTIVATION: Multimodal learning is often assumed to improve predictive performance by combining complementary views, yet in biological applications au...

Trust-Centered Design and Feasibility Evaluation of an AI-Enabled Conversational Health Tool for Sexual and Reproductive Health Among Rural Young Adults: Protocol for a Mixed Methods Study.

BACKGROUND: Young adults aged 18 to 25 years in rural communities face barriers to sexual and reproductive health (SRH) information, including clinici...

Bioactive glasses as reactive biomaterials: dissolution-driven structure-function relationships and predictive modelling.

Bioactive glasses (BGs) are reactive biomaterials whose biological effects arise from dissolution: ion exchange, pH evolution, surface-layer formation...

The use of artificial intelligence models for interpretation and triage of clinical referral letters to acute and specialist care pathways: Protocol for a systematic review.

BACKGROUND: Clinical referral letters direct patients into acute, urgent, and specialist care pathways, but their triage is typically manual, heteroge...

Automatic Patient Eligibility for Photon-counting CT Using Discriminative and Generative AI Models in Neuroradiology.

RATIONALE AND OBJECTIVES: Photon -Counting CT (PCCT) provides higher resolution, reduced dose, and valuable spectral data, but generates a large numbe...

[Web-based translation software in clinical practice : A survey in a German university hospital including a data protection and liability perspective].

BACKGROUND: Language barriers are an obstacle in everyday clinical practice. Webbased translation software can offer a low-barrier solution. This stud...

Online adaptive radiotherapy in pelvic and thoracic cancers - comparing toxicities, clinical outcomes and technical parameters between conventional image-guided radiotherapy and online adaptive radiotherapy - the study protocol for the prospective, registry-based cohort study (PRoART).

BACKGROUND: Conventional image-guided radiotherapy (IGRT) typically relies on a computed tomography (CT)-based treatment planning process (planning CT...

AI in Psychiatry for Improving Continuity of Patient Care: Protocol for a Mixed Methods Systematic Review.

BACKGROUND: Continuity of care is essential in psychiatric services due to the chronic, relapsing nature of mental health conditions, yet care pathway...

Implementation and Evaluation of an AI-Assisted Telerehabilitation System for Postdischarge Continuation of Rehabilitative Care: Protocol for a Randomized Controlled Trial.

BACKGROUND: The World Health Organization (WHO) launched a Rehabilitation 2030 initiative to call for global action to scale up rehabilitation efforts...

A Generalized Approach to Solving Deep Learning-Based Quantitative Susceptibility Mapping and Quantitative Blood Oxygen Level Dependent Magnitude (QSM + qBOLD or QQ) for Oxygen Extraction Fraction (OEF) Mapping Across Diverse Acquisition Schemes.

PURPOSE: QQ, a recently proposed oxygen extraction fraction (OEF) mapping technique combining quantitative susceptibility mapping (QSM) and quantitati...

Building a Global Research Network for Fair, Accountable, Interpretable, and Responsible AI in Emergency Care: Protocol for a FAIR-EC Study.

BACKGROUND: The current landscape of emergency care (EC) is marked by high demand, leading to issues such as emergency department boarding, overcrowdi...

Three-dimensional and artificial intelligence-assisted preoperative templating in total hip arthroplasty: a systematic review and meta-analysis.

BACKGROUND: Preoperative templating in total hip arthroplasty (THA) optimizes implant sizing and positioning accuracy. Standard practice relies on two...

Deep learning image reconstruction improves visualization of arterial phase hyperenhancement and washout appearance on dual-energy CT for hepatocellular carcinoma: a non-inferiority study.

PURPOSE: This study aimed to evaluate the clinical value of deep learning image reconstruction (DLIR)-based dual-energy CT (DECT) in improving image q...

Nurse-Led Large Language Model Chatbot for Predicting and Preventing Complications After Coronary Artery Bypass Grafting: Protocol for a Randomized Controlled Trial.

BACKGROUND: Thirty-day unplanned readmission following coronary artery bypass grafting (CABG) affects 10%-20% of patients and is a key quality indicat...

Predicting time-to-event clinical outcomes with multivariate repeated measurements of patient-level covariates: A systematic review.

OBJECTIVE: Repeated measurements capture the progression of health over time and may inform survival prediction. The goal of this review is to identif...