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Subcategories: Emergency Medicine

Showing 3277-3297 of 4,991 articles

A Machine Learning Algorithm to Predict Medical Device Recall by the Food and Drug Administration.

INTRODUCTION: Medical device recalls are important to the practice of emergency medicine, as unsafe ...

Jan 2025 39918157

Reported liver toxicity of food chemicals in rats extrapolated to humans using virtual human-to-rat hepatic concentration ratios generated by pharmacokinetic modeling with machine learning-derived parameters.

Pharmacokinetic data are not generally available for evaluating the toxicological potential of food ...

Jan 2025 40307011

Performance analysis of an emergency triage system in ophthalmology using a customized CHATBOT.

PURPOSE: To evaluate the performance of a custom ChatGPT-based chatbot in triaging ophthalmic emerge...

Jan 2025 40357425

Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays

Computer-aided diagnosis (CAD) systems have greatly improved the interpretation of medical images ...

Dec 2024 http://arxiv.org/abs/2501.00647v1

[Image reconstruction for cerebral hemorrhage based on improved densely-connected fully convolutional neural network].

Cerebral hemorrhage is a serious cerebrovascular disease with high morbidity and high mortality, for...

Dec 2024 40000208

Unsupervised Domain Adaptive Person Search via Dual Self-Calibration

Unsupervised Domain Adaptive (UDA) person search focuses on employing the model trained on a label...

Dec 2024 http://arxiv.org/abs/2412.16506v1

A Machine Learning Approach for Emergency Detection in Medical Scenarios Using Large Language Models

The rapid identification of medical emergencies through digital communication channels remains a c...

Dec 2024 http://arxiv.org/abs/2412.16341v1

EF-Net: A Deep Learning Approach Combining Word Embeddings and Feature Fusion for Patient Disposition Analysis

One of the most urgent problems is the overcrowding in emergency departments (EDs), caused by an a...

Dec 2024 http://arxiv.org/abs/2412.16134v1

AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening

Intracranial hemorrhage (ICH) refers to the leakage or accumulation of blood within the skull, whi...

Dec 2024 http://arxiv.org/abs/2412.14869v1

A Systematic Analysis of Input Modalities for Fracture Classification of the Paediatric Wrist

Fractures, particularly in the distal forearm, are among the most common injuries in children and ...

Dec 2024 http://arxiv.org/abs/2412.13856v1

BioBridge: Unified Bio-Embedding with Bridging Modality in Code-Switched EMR

Pediatric Emergency Department (PED) overcrowding presents a significant global challenge, prompti...

Dec 2024 http://arxiv.org/abs/2412.11671v1

UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models

Recent studies show that diffusion models (DMs) are vulnerable to backdoor attacks. Existing backd...

Dec 2024 http://arxiv.org/abs/2412.11441v3

Superhuman performance of a large language model on the reasoning tasks of a physician

A seminal paper published by Ledley and Lusted in 1959 introduced complex clinical diagnostic reas...

Dec 2024 http://arxiv.org/abs/2412.10849v2

Predicting Emergency Department Visits for Patients with Type II Diabetes

Over 30 million Americans are affected by Type II diabetes (T2D), a treatable condition with signi...

Dec 2024 http://arxiv.org/abs/2412.08984v1

Exploring Multidimensional Checkworthiness: Designing AI-assisted Claim Prioritization for Human Fact-checkers

Given the massive volume of potentially false claims circulating online, claim prioritization is e...

Dec 2024 http://arxiv.org/abs/2412.08185v2

Graph convolutional networks enable fast hemorrhagic stroke monitoring with electrical impedance tomography

Objective: To develop a fast image reconstruction method for stroke monitoring with electrical imp...

Dec 2024 http://arxiv.org/abs/2412.07888v1

Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger

No-Reference Image Quality Assessment (NR-IQA), responsible for assessing the quality of a single ...

Dec 2024 http://arxiv.org/abs/2412.07277v3

Efficient VoIP Communications through LLM-based Real-Time Speech Reconstruction and Call Prioritization for Emergency Services

Emergency communication systems face disruptions due to packet loss, bandwidth constraints, poor s...

Dec 2024 http://arxiv.org/abs/2412.16176v1

Browse Categories

A Machine Learning Algorithm to Predict Medical Device Recall by the Food and Drug Administration.

Reported liver toxicity of food chemicals in rats extrapolated to humans using virtual human-to-rat hepatic concentration ratios generated by pharmacokinetic modeling with machine learning-derived parameters.

Performance analysis of an emergency triage system in ophthalmology using a customized CHATBOT.

Lightweight G-YOLOv11: Advancing Efficient Fracture Detection in Pediatric Wrist X-rays

[Image reconstruction for cerebral hemorrhage based on improved densely-connected fully convolutional neural network].

Unsupervised Domain Adaptive Person Search via Dual Self-Calibration

A Machine Learning Approach for Emergency Detection in Medical Scenarios Using Large Language Models

EF-Net: A Deep Learning Approach Combining Word Embeddings and Feature Fusion for Patient Disposition Analysis

AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and Feature Screening

A Systematic Analysis of Input Modalities for Fracture Classification of the Paediatric Wrist

BioBridge: Unified Bio-Embedding with Bridging Modality in Code-Switched EMR

UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models

Superhuman performance of a large language model on the reasoning tasks of a physician

Predicting Emergency Department Visits for Patients with Type II Diabetes

Exploring Multidimensional Checkworthiness: Designing AI-assisted Claim Prioritization for Human Fact-checkers

Graph convolutional networks enable fast hemorrhagic stroke monitoring with electrical impedance tomography

Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger

Efficient VoIP Communications through LLM-based Real-Time Speech Reconstruction and Call Prioritization for Emergency Services

Intersection-Aware Assessment of EMS Accessibility in NYC: A Data-Driven Approach

FLAME 3 Dataset: Unleashing the Power of Radiometric Thermal UAV Imagery for Wildfire Management

Construction and optimization of health behavior prediction model for the elderly in smart elderly care

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