Risk Management

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, particularly when there is high patient turnover, a mix of species, close contact among animals, or immunocompromised patients that raise the risk of hospital-associated infections (HAIs). This review outlines a practical, evidence-based approach designed to address biohazards, including zoonotic pathogens,...

MRI-based machine learning model to distinguish hippocampal sclerosis (HS) ILAE type 1 and no HS gliosis only in medial temporal lobe epilepsy.

PURPOSE: Despite recent advances in preoperative work-up of drug resistant medial temporal lobe epilepsy (MTLE), predicting post-surgical seizure and memory outcomes remains challenging. Differentiating between "no hippocampal sclerosis Gliosis Only" [i.e. gliosis only; no pyramidal neuronal loss] and "HS ILAE Type 1" is essential as these two are distinct histopathological entities in MTLE with d...

Use of an AI-Based Tool (Human Experiences and Reflections Data Connector) to Improve Discovery and Reuse of Archived Qualitative Data: Protocol for an Algorithm Development and Validation Study.

BACKGROUND: Despite the growing emphasis on open science and equity in research, qualitative data capturing diverse human experiences and perspectives...

Engaging Hospital Staff to Identify Levers for Adoption of Clinical Decision Support: Protocol for a Single-Site Case Study Using System Dynamics Group Model Building.

BACKGROUND: Clinical decision support (CDS) tools that provide patient-specific and evidence-based information to clinicians and care managers regardi...

A strategy of CT exam protocol to standardize groups of scanners using automated noise assessment and noise prediction for CT radiotherapy simulation.

OBJECTIVE: Standardizing clinical CT images enables consistent analysis of image data for target delineation, radiomics, and machine learning in perso...

Refinement and performance benchmark for range-separated water force field.

In our previous work, we developed a CCSD(T)-level range-separated water force field that combines the power of physics-driven and machine learning mo...

Comparison of AI-assisted and human-produced podcasts derived from Cochrane Plain Language Summaries: protocol for a randomised non-inferiority trial (Health Information Effectiveness Trials-2).

BACKGROUND AND OBJECTIVES: Podcasts can make health evidence easier to follow, but it is unclear whether artificial intelligence (AI)-assisted product...

Deep learning-based reconstruction for 5.0T magnetic resonance imaging (MRI) in nasopharyngeal carcinoma: comparison of image quality and diagnostic efficacy.

AIM: To investigate the effect of deep learning-based reconstruction (DLR) technology on image quality and diagnostic efficacy of 5T magnetic resonanc...

A review of clinical trial radiotherapy quality assurance: value, evolution and lessons.

BACKGROUND AND PURPOSE: Deviations in radiotherapy quality can significantly affect clinical trial outcomes, including overall survival. Radiotherapy ...

Design and laboratory verification of an AI-driven plant protection robot with a custom communication protocol.

Traditional agricultural plant protection primarily relies on manual labor and indiscriminate chemical spraying, resulting in inefficiency, increased ...

Fully digital and robot-assisted workflow for mandibular molar autotransplantation: A proof-of-concept.

OBJECTIVES: To present a robot-assisted protocol for autogenous mandibular molar transplantation using an autonomous robotic system for shape-matched ...

Speech-based digital biomarkers for early etiological stratification of Alzheimer's disease and frontotemporal degeneration: a biomarker-confirmed prospective study.

BACKGROUND: Early differentiation between Alzheimer's disease (AD) and frontotemporal lobar degeneration (FTLD) is a prerequisite for secondary preven...

Integrating Sperm Microscopy, Environmental Exposures, and Lifestyle Factors for Male Fertility Analysis: Protocol for the Nippon Semen and Environmental Exposure Database (N-SEED) Cross-Sectional Study.

BACKGROUND: Conventional semen analysis does not fully capture male reproductive potential. The sperm DNA fragmentation index (DFI) may detect latent ...

Indocyanine green fluorescence for intraoperative detection of liver tumours in minimally invasive surgery: protocol for the LIVERGREEN phase IV multicentre clinical trial.

INTRODUCTION: Liver tumours are a leading cause of global morbidity and mortality. Current diagnostic tools, including computed tomography (CT), magne...

Divergent synthesis of γ-lactones and cyclopropanes via efficient [1 + 4] and [1 + 2] annulations of amide-sulfoxonium ylides.

Functionalized γ-lactones and cyclopropanes, especially those bearing amide substituents, play important roles in diverse chemical and pharmacological...

Signal-to-noise ratio improvement in postmortem MRI using deep learning reconstruction (SwiftMR).

Postmortem imaging has become an essential modality for death investigation, with computed tomography (PMCT) being widely adopted as a rapid and objec...

Minimizing Medical Malpractice Risk for Radiologists Using Artificial Intelligence.

Reply to "Minimizing Medical Malpractice Risk for Radiologists Using Artificial Intelligence".

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 early detection of nosocomial infections. DESIGN: A r...

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 hypotheses. Generative artificial intelligence (GenAI)-b...