Hospital-Based Medicine

Risk Management

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

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Operationalizing postmortem pathology-MRI association studies in Alzheimer's disease and related disorders with MRI-guided histology sampling.

Postmortem neuropathological examination, while the gold standard for diagnosing neurodegenerative d...

China Protocol for early screening, precise diagnosis, and individualized treatment of lung cancer.

Early screening, diagnosis, and treatment of lung cancer are pivotal in clinical practice since the ...

Age-Related Differences in Risk Factors for Long-Term Care Certification in Japan: A Decision Tree Analysis Spanning 3 Years.

Ensuring healthy aging and extending health span is critical, particularly in aging societies. This ...

The two ends of the spectrum: comparing chronic schizophrenia and premorbid latent schizotypy by actigraphy.

Motor activity alterations are key symptoms of psychiatric disorders like schizophrenia. Actigraphy,...

Characterising physical activity patterns in community-dwelling older adults using digital phenotyping: a 2-week observational study protocol.

INTRODUCTION: Physical activity (PA) is crucial for older adults' well-being and mitigating health r...

A Personalized Closed-Loop Brain Stimulation Protocol for Difficulty Falling Asleep.

BACKGROUND: Insomnia, a common mental health issue, is characterized by brain hyperarousal and diffi...

Cortico-cortical evoked potentials: Analytical techniques and emerging paradigms for epileptogenic zone localization.

Cortico-cortical evoked potentials (CCEPs) are an active electrophysiological technique used during ...

Consensus synchronization via quantized iterative learning for coupled fractional-order time-delayed competitive neural networks with input sharing.

This paper presents the D-type distributed iterative learning control protocol to synchronize fracti...

Design, synthesis, and evaluation of triazolo[1,5-a]pyridines as novel and potent α‑glucosidase inhibitors.

α-Glucosidase is a key enzyme responsible for controlling the blood glucose, making a pivotal target...

Integration of diverse bioactivity data into the Chemical Checker compound universe.

Chemical signatures encode the physicochemical and structural properties of small molecules into num...

Exploring the Potential of Digital Twins in Cancer Treatment: A Narrative Review of Reviews.

Digital twin (DT) technology, integrated with artificial intelligence (AI) and machine learning (ML...

Trading off Iodine and Radiation Dose in Coronary Computed Tomography.

Coronary CT angiography (CCTA) has seen steady progress since its inception, becoming a key player i...

Contemporary Prevention and Management of Postoperative Delirium in Cardiac Surgery Patients.

This review examines the prevention and management of postoperative delirium in cardiac surgery pati...

The High Five Model as a Predictor of the Optimal Occupational and Personal Functioning of Workers Through Machine Learning Algorithms.

In this study, the predictive power of positive personality traits from the High Five Model (HFM) fo...

Cognitive Dysfunction in the Addictions (CDiA): protocol for a neuron-to-neighbourhood collaborative research program.

Substance use disorders (SUDs), including Alcohol Use Disorder, are pressing global public health pr...

VADEr: Vision Transformer-Inspired Framework for Polygenic Risk Reveals Underlying Genetic Heterogeneity in Prostate Cancer.

Polygenic risk scores (PRSs) serve as quantitative metrics of genetic liability for various conditio...

Neurophysiological Approaches to Lie Detection: A Systematic Review.

Lie detection is crucial in domains such as security, law enforcement, and clinical assessments. Tr...

Developing a transparent reporting tool for AI-based diagnostic prediction models of disease and syndrome in Chinese medicine: a Delphi protocol.

INTRODUCTION: The application of artificial intelligence in diagnostic prediction models for disease...

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