Hospital-Based Medicine

Risk Management

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

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Artificial intelligence in dentistry: a narrative review of applications, challenges, and future directions.

Artificial intelligence (AI) is increasingly influencing dental practice, offering advancements in d...

Canadian Radiology Update.

Radiology research at Canadian institutions is advancing patient care through multidisciplinary coll...

Can automation and artificial intelligence reduce echocardiography scan time and ultrasound system interaction?

BACKGROUND: The number of patients referred for and requiring a transthoracic echocardiogram (TTE) h...

Utility of Thin-slice Single-shot T2-weighted MR Imaging with Deep Learning Reconstruction as a Protocol for Evaluating Pancreatic Cystic Lesions.

PURPOSE: To assess the effects of industry-developed deep learning reconstruction with super resolut...

Comparative analysis of pre-transcatheter aortic valve implantation CTA protocols: Optimizing radiation dose and contrast volume.

BACKGROUND: To establish the most effective and safe pre-transcatheter aortic valve implantation (TA...

Accelerated MRI in temporomandibular joints using AI-assisted compressed sensing technique: a feasibility study.

OBJECTIVE: To investigate the feasibility of accelerated MRI with artificial intelligence-assisted c...

Current applications and outcomes of AI-driven adaptive learning systems in physical rehabilitation science education: A scoping review protocol.

Rationale Integrating artificial intelligence (AI) into education has introduced transformative poss...

Statistical consideration in nephrology research.

Nephrology research plays an important role in advancing our understanding of kidney disease and imp...

Thalamic neural activity and epileptic network analysis using stereoelectroencephalography: a prospective study protocol.

INTRODUCTION: Epilepsy is a prevalent chronic neurological disorder, with approximately one-third of...

Where are all the neurosurgery robots?

Despite substantial advances in engineering, robotics, and artificial intelligence, autonomous robot...

Machine learning-based prediction of respiratory depression during sedation for liposuction.

Procedural sedation is often performed by non-anesthesiologists in various settings and can lead to ...

Artificial intelligence in prediction of postpartum hemorrhage: a primer and review.

Postpartum hemorrhage (PPH) is a leading cause of maternal mortality worldwide, and the ability to p...

An Appraisal of the Quality of Development and Reporting of Predictive Models in Spine Surgery.

Study DesignLiterature review.ObjectiveThe Transparent Reporting of a multivariable prediction model...

Secure IoV communications for smart fleet systems empowered with ASCON.

The Internet of Vehicles (IoV) is crucial in facilitating secure and efficient vehicle-infrastructur...

Combining flow virometry with tree-based machine learning models for rapid virus particle estimation in different wastewater matrices.

Enumerating virus particles (VPs) at different stages of the wastewater treatment process or along t...

Surgery without distance: will 5G-based robot-assisted telesurgery redefine modern surgery?

The rapid advancement of the 5G technology is catalyzing a paradigm shift in the realm of remote sur...

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