Risk Management

Curating and sharing XAS data - Metadata and Scientific quality control.

With the growing volume of measured X-ray Absorption Spectroscopy (XAS) data and their need for machine-learning and reference purposes across different facilities, both spectral quality and documentation of the XAS measurements need to be standardized. The documentation is also important to avoid unnecessarily repeating reference measurements and therefore wasting precious beamtime. In this artic...

Hyperparameter-optimized deep learning for next-day pH forecasting in distributed water quality monitoring systems.

Accurate short-horizon water-quality forecasting is important for environmental monitoring systems that aim to move from passive observation toward timely, data-driven intervention. Next-day pH prediction is particularly relevant because pH reflects aquatic chemical balance, pollutant behavior, and ecosystem health. This study addresses next-day pH prediction in a spatio-temporal monitoring contex...

An Evaluation of AI-Generated Clinical Notes in the OpenNotes Era: A Thematic Analysis of Clinician Discourse.

BACKGROUND: The integration of ambient artificial intelligence (AI) scribes into the OpenNotes environment presents a profound governance crisis in he...

A stacking based deep learning framework integrating random search neural architecture search for meniscus tear diagnosis.

BACKGROUND: Accurate and rapid diagnosis of meniscal tears is crucial for effective management of sports-related injuries and degenerative knee disord...

Machine Learning Frameworks for Wearable-Based Stress Modeling in Naturalistic Settings: Scoping Review.

BACKGROUND: Stress, as commonly recognized, is an integral part of modern life and can significantly affect both mental and physical health. While sub...

A Systematic Review and Quality Appraisal of AI-Augmented Intervention Studies for Autistic Individuals.

Artificial intelligence (AI) has been increasingly integrated into autism interventions to support personalization and scalability; however, the stren...

Comparison of accelerated MRI protocol approaches for clinical assessment of the knee.

OBJECTIVE: To evaluate the diagnostic performance and image quality of four accelerated knee MRI protocols (~ 6 minutes) compared with a conventional ...

Neural networks improve repeatability of intravoxel incoherent motion (IVIM) parameter estimation in pancreatic diffusion-weighted MRI.

Intravoxel incoherent motion (IVIM) analysis in diffusion-weighted MRI (DWI-MRI) shows potential for characterizing pancreatic tissue, but its clinica...

Use of heart rate variability in prediction of clinical deterioration in critically ill hospitalised adults: a systematic review protocol.

INTRODUCTION: Heart rate variability (HRV) is a measurement derived from the beat-to-beat variation in heart rate and reflects the complex interaction...

A lightweight hybrid framework integrating convolutional neural networks and fast Fourier transform for reliable and calibrated ECG-based cardiac abnormality detection.

The electrocardiogram (ECG) is an essential non-invasive tool for detecting cardiac abnormalities; however, accurate interpretation often requires spe...

Artificial Intelligence Technologies Supporting Clinical Judgement in Nursing: A Scoping Review.

AIM: To map and analyse how artificial intelligence technologies interact with and support clinical judgement processes in nursing across practice and...

Development and Evaluation of Individualized Music Therapy for Common Mental Disorders: Protocol for a Multistage Study.

BACKGROUND: Pharmacotherapy for common mental disorders is frequently limited by adverse events and suboptimal adherence. While music therapy offers a...

Large Language Models in German Continuing Medical Education Assessments: Protocol for a Fully Crossed Experimental Study.

BACKGROUND: Continuing medical education (CME) is a legal and ethical obligation for physicians in Germany. The rapid rise of large language models (L...

Novel indicator for colonoscopy insertion difficulty and its application in predictive modelling: a multicentre prospective study protocol in China.

BACKGROUND: Colonoscopy is a cornerstone for the screening and diagnosis of colorectal diseases. Colonoscopy insertion difficulty is associated with e...

Pilot Evaluation of a Novel Artificial Intelligence (AI) Heart Rate Variability (HRV)-Guided Risk Stratification for Chest Pain in the Emergency Department: A Randomized Controlled Trial.

BACKGROUND: Heart rate variability (HRV) analysis powered by artificial intelligence (AI) offers a rapid, non-invasive, and objective approach for acu...

Efficient AI-supported quantification of network structures in SEM imaged human mucus: A detailed protocol.

We present a detailed protocol for the training and application of an AI-assisted workflow for automated analysis of pore and filament structures in s...

Clinical evaluation of deep learning-accelerated 3D FLAIR imaging at 1.5T and 3T for visualization of cerebral white matter lesions.

BackgroundFluid-attenuated inversion recovery (FLAIR) imaging is a standard sequence used for the detection of white matter lesions; however, 1-mm iso...

Dynamic prediction of cardiovascular risk from linked primary care records in New South Wales, Australia: protocol for a retrospective prognostic modelling study.

INTRODUCTION: Cardiovascular disease (CVD) remains a leading cause of preventable morbidity and mortality. Most existing CVD prediction tools use a ba...

Sex differences in microvascular patterns associated with low- and high-risk for cardiovascular disease.

BACKGROUND: The role of the microcirculation in cardiovascular health in males and females is not fully understood. Skin microvascular function can be...

Cross-Device Risk Calibration for Surface-Enhanced Raman Spectroscopy-Based Urologic Disease Classification.

Surface-enhanced Raman spectroscopy (SERS) combined with deep learning offers a noninvasive route for molecular screening of urologic diseases. Its br...