Emergency Medicine

Latest AI and machine learning research in emergency medicine for healthcare professionals.

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Showing 547-567 of 4,993 articles
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 o...

Feb 2026 41733641
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 heal...

Feb 2026 41734394
Toxicogenomic Characterization of Perfluorooctanoic Acid-Associated Bladder Carcinogenesis.

OBJECTIVE: This study aims to bridge toxicological target prediction and bladder cancer transcriptom...

Feb 2026 41735763
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 lim...

Feb 2026 41735989
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 con...

Feb 2026 41731169
Two -stage contrastive learning framework for vertebral compression fracture screening in frontal chest X-ray.

Vertebral Compression Fractures (VCFs) are early signs of osteoporosis and the most common type of o...

Feb 2026 41825197
A machine learning-based triage system for systemic EBV-positive T/NK cell lymphoproliferative diseases of childhood.

Systemic Epstein-Barr virus-positive (EBV-positive) T/NK cell lymphoproliferative diseases of childh...

Feb 2026 41729084
Brain organoids in environmental neurotoxicology: applications, mechanisms, and future perspectives.

The advent of human induced pluripotent stem cell (hiPSC)-derived brain organoids represents a signi...

Feb 2026 41729367
Predicting Geriatric Rehabilitation Stays of ≤4 Weeks After Hip Fracture Surgery: Machine Learning Approach Using Physical Activity and Patient Data.

BACKGROUND: In 2022, over 18,000 patients aged ≥70 years were hospitalized in the Netherlands for a ...

Feb 2026 41730201
ChatGPT Health performance in a structured test of triage recommendations.

ChatGPT Health launched in January 2026 as OpenAI's consumer health tool, reaching millions of users...

Feb 2026 41731097
First-line risk stratification with machine learning models facilitates rapid triage for non-ST-elevation myocardial infarction.

Timely diagnosis of non-ST-elevation myocardial infarction (NSTEMI) remains challenging, as current ...

Feb 2026 41729857
Performance of AI vs radiology residents in the detection of intracranial hemorrhage on emergency CT: a real-world analysis.

OBJECTIVE: To evaluate the performance of a commercial artificial intelligence (AI) software in dete...

Feb 2026 41721849
Towards three-dimensional discrete fracture network modeling using integrated multidimensional outcrop data.

Analogue outcrops can be a source of fracture information beyond the resolution of seismic and well ...

Feb 2026 41723167
Development and proof-of-concept of a treatment target recommendation algorithm in the context of cognitive processing therapy.

Background: Cognitive Processing Therapy (CPT) is an effective, widely supported treatment for PTSD,...

Feb 2026 41717736
Reimagining intensive care unit recovery: The Critical Illness Survivorship Programme for humanising post-intensive care unit care - A discussion paper.

BACKGROUND: Survivorship after critical illness is often characterised by fragmented recovery and li...

Feb 2026 41764874
Deciphering the air pollution-osteoarthritis relationship: insights from network toxicology, integrated machine learning, and molecular docking.

Mounting evidence suggests an association between air pollution and the pathogenesis of osteoarthrit...

Feb 2026 41718809
Ensemble Machine Learning Models for Predicting Patients With High Usage: Model Validation and Economic Impact Analysis.

BACKGROUND: Machine learning models are increasingly used to predict patients at risk of high health...

Feb 2026 41719547
Combining multimodal fatigue fracture surface images for analysis with a CNN.

This work uses three different modalities, namely SEM, BSE and scanning white light interference (SW...

Feb 2026 41720828
Interpretable spatiotemporal machine learning reveals hydrogeological and climatic controls on groundwater heavy metal transport in acid mine drainage.

Acid mine drainage (AMD) generated by sulfide-bearing waste rock dumps poses persistent risks to gro...

Feb 2026 41722403
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