Emergency Medicine

Hydrodynamic modulation of microplastic bioaccumulation in edible fish: Integrating biomarker networks, machine learning, and food safety perspectives.

Microplastic (MP) pollution poses increasing environmental and food safety risks, yet the role of hydrodynamics in MPs bioaccumulation and fish physiology is unclear. This study assessed the effects of 5 μm polystyrene MPs (1000 μg/L) on Ctenopharyngodon idella under static conditions and at water velocities of 1, 3, and 5 body lengths per second (BL/s). Fish exposed to high velocity showed highes...

Early Detection of Traumatic Brain Hematoma Using Machine Learning-Powered Near-Infrared Spectroscopy: A Case Report in a Kabaddi Player.

Traumatic brain injury is a significant concern in contact sports, with concussions being the most common type. Kabaddi, a high-contact sport, carries a high risk of head injuries, yet limited research has addressed their acute neurological impact. Conventional imaging such as computed tomography is the gold standard for hematoma detection but is often inaccessible in field settings. This case rep...

Deep Learning-Based Prediction of Trabecular Bone Mineral Density From Lumbar CT: A Superior Alternative to DEXA in Hyperostosis.

Study DesignRetrospective Cohort Study.ObjectivesThis study explores using deep learning to predict lumbar spine bone mineral density (BMD) from CT im...

Deep learning model for body weight estimation from computed tomography scout images incorporating sex and height.

Accurate body weight measurement is essential for determining the appropriate dose of contrast agent in contrast-enhanced computed tomography (CT) exa...

A physics-informed hybrid ML framework for pore pressure and fracture gradient prediction in carbonate reservoirs.

Accurate prediction of formation pore pressure and fracture gradient is essential for safe mud-weight selection and wellbore stability, especially in ...

Topological control of spontaneous failure in active nematic solids.

Active solids using energy influx to generate non-equilibrium forces undergo spontaneous mechanical failure, but how topological defects concentrate i...

Exploring public information needs on resuscitation: an artificial intelligence-assisted content analysis of questions posted online.

Evaluating the accuracy of ChatGPT model versions for giving care-seeking advice.

BACKGROUND: Artificial Intelligence tools such as ChatGPT are increasingly used by laypeople to support their care-seeking decisions, although the acc...

Machine learning in trauma anesthesia - from promise to practice.

Machine-learning algorithms for detecting intracranial hemorrhage on head computed tomography.

This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: The primary objective of this review is to determine the diagnos...

Integrative network toxicology and molecular docking preliminarily explore the potential role of polystyrene microplastics in childhood obesity.

Childhood obesity is a severe global epidemic, and emerging evidence suggests environmental pollutants like polystyrene microplastics (PS-MPs) may dis...

Diagnostic accuracy of deep learning vs. human raters for detecting osteoporotic vertebral compression fractures in routine CT scans.

OBJECTIVES: Vertebral fractures are severe complications of osteoporosis but are frequently missed on computed tomography (CT). Differentiating true f...

Artificial Intelligence and Public Health Data in Emergencies: A Critical Issue in the Middle East.

Timely access to reliable public health data is a critical determinant of effective response to health emergencies, including disease outbreaks, clima...

Machine learning guided resolution of mechanical trade-off in polymer composites via stress adaptive interface.

Developing polymer composites that simultaneously achieve high strength, toughness, and impact resistance remains a fundamental challenge due to inher...

Toxicogenomic Characterization of Perfluorooctanoic Acid-Associated Bladder Carcinogenesis.

OBJECTIVE: This study aims to bridge toxicological target prediction and bladder cancer transcriptomics by systematically identifying molecular signat...

Correction to: Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings.

Simulated evaluation of large language model stepwise diagnostic reasoning with real-world chest pain encounters and Bayesian networks.

BACKGROUND: Real-world evaluation of large language models (LLMs) as clinical diagnostic aids is limited by the reliance on static vignettes and retro...

Comment on "Automatic rib fracture detection on postmortem CT data using deep learning".

Environmental PET-microplastic exposure and risk of non-alcoholic fatty liver disease: An integrated computational toxicology and multi-omics study.

The escalating severity of global microplastic pollution has triggered significant public health concerns. Polyethylene terephthalate (PET), a ubiquit...

A systematic review on dysconnectivity in face and emotion processing networks in schizophrenia.

Schizophrenia is a complex psychiatric disorder that affects approximately 20 million people worldwide. Patients show face-processing deficits that si...