Hospital-Based Medicine

Risk Management

Latest AI and machine learning research in risk management for healthcare professionals.

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Health Care Professionals' Experiences and Opinions About Generative AI and Ambient Scribes in Clinical Documentation: Protocol for a Scoping Review.

BACKGROUND: Generative artificial intelligence (GenAI) leverages large language models (LLMs) that a...

Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study.

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common cause of chronic...

Computational mechanisms of neuroimaging biomarkers uncovered by multicenter resting-state fMRI connectivity variation profile.

Resting-state functional connectivity (rsFC) is increasingly used to develop biomarkers for psychiat...

A workflow for statistical analysis and visualization of microbiome omics data using the R microeco package.

The increasing complexity of experimental designs and the volume of data in the microbiome field, al...

Adaptive resetting for informed search strategies and the design of non-equilibrium steady-states.

Stochastic resetting, the procedure of stopping and re-initializing random processes, has recently e...

Predicting patient deterioration with physiological data using AI: systematic review protocol.

INTRODUCTION: The second iteration of the National Early Warning Score has been adopted widely withi...

Clinical correlates of errors in machine-learning diagnostic model of autism spectrum disorder: Impact of sample cohorts.

Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates ...

Open-radiomics: a collection of standardized datasets and a technical protocol for reproducible radiomics machine learning pipelines.

BACKGROUND: As an important branch of machine learning pipelines in medical imaging, radiomics faces...

Data Collection for Automatic Depression Identification in Spanish Speakers Using Deep Learning Algorithms: Protocol for a Case-Control Study.

BACKGROUND: Depression is a mental health condition that affects millions of people worldwide. Altho...

Constructing Accurate Potential Energy Surfaces with Limited High-Level Data Using Atom-Centered Potentials and Density Functional Theory.

We present a general method for developing a Δ-DFT-type approach that enables the generation of ener...

Navigating the AI revolution: will radiology sink or soar?

The rapid acceleration of digital transformation and artificial intelligence (AI) is fundamentally r...

Non-invasive breath testing to detect colorectal cancer: protocol for a multicentre, case-control development and validation study (COBRA2 study).

BACKGROUND: Colorectal cancer (CRC) is the fourth most common cancer in the United Kingdom. The five...

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