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State-Required-CME Subcategories: Bioterrorism Care of terminally ill / Palliative care Cultural Competence Domestic Violence Identifying and Reporting Child abuse Identifying and Reporting Dependent Adult abuse Infection control / Modes of transmission Medical Ethics / Professional Responsibility Patient safety / Risk Management Prevention of medical errors Sexual Assault Universal precautions

Showing 1366-1386 of 5,107 articles

The Art of Audience Engagement: LLM-Based Thin-Slicing of Scientific Talks

This paper examines the thin-slicing approach - the ability to make accurate judgments based on mi...

Apr 2025 http://arxiv.org/abs/2504.10768v1

SilVar-Med: A Speech-Driven Visual Language Model for Explainable Abnormality Detection in Medical Imaging

Medical Visual Language Models have shown great potential in various healthcare applications, incl...

Apr 2025 http://arxiv.org/abs/2504.10642v1

Federated Prototype Graph Learning

In recent years, Federated Graph Learning (FGL) has gained significant attention for its distribut...

Apr 2025 http://arxiv.org/abs/2504.09493v1

Using Vision Language Models for Safety Hazard Identification in Construction

Safety hazard identification and prevention are the key elements of proactive safety management. P...

Apr 2025 http://arxiv.org/abs/2504.09083v1

[Advancements in machine learning applications in refractive surgery].

Refractive error is a significant factor contributing to visual impairment, imposing a relatively la...

Apr 2025 40189889

Focal Cortical Dysplasia Type II Detection Using Cross Modality Transfer Learning and Grad-CAM in 3D-CNNs for MRI Analysis

Focal cortical dysplasia (FCD) type II is a major cause of drug-resistant epilepsy, often curable ...

Apr 2025 http://arxiv.org/abs/2504.07775v1

The Role of Machine Learning in Reducing Healthcare Costs: The Impact of Medication Adherence and Preventive Care on Hospitalization Expenses

This study reveals the important role of prevention care and medication adherence in reducing hosp...

Apr 2025 http://arxiv.org/abs/2504.07422v1

CiMBA: Accelerating Genome Sequencing through On-Device Basecalling via Compute-in-Memory

As genome sequencing is finding utility in a wide variety of domains beyond the confines of tradit...

Apr 2025 http://arxiv.org/abs/2504.07298v1

DIMA: DIffusing Motion Artifacts for unsupervised correction in brain MRI images

Motion artifacts remain a significant challenge in Magnetic Resonance Imaging (MRI), compromising ...

Apr 2025 http://arxiv.org/abs/2504.06767v1

Parallel GPU-Enabled Algorithms for SpGEMM on Arbitrary Semirings with Hybrid Communication

Sparse General Matrix Multiply (SpGEMM) is key for various High-Performance Computing (HPC) applic...

Apr 2025 http://arxiv.org/abs/2504.06408v1

Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs

Federated Learning (FL) enables multiple resource-constrained edge devices with varying levels of ...

Apr 2025 http://arxiv.org/abs/2504.05245v1

Federated Learning for Medical Image Classification: A Comprehensive Benchmark

The federated learning paradigm is wellsuited for the field of medical image analysis, as it can e...

Apr 2025 http://arxiv.org/abs/2504.05238v1

Statistical Management of the False Discovery Rate in Medical Instance Segmentation Based on Conformal Risk Control

Instance segmentation plays a pivotal role in medical image analysis by enabling precise localizat...

Apr 2025 http://arxiv.org/abs/2504.04482v2

Improving Early Prediction of Type 2 Diabetes Mellitus with ECG-DiaNet: A Multimodal Neural Network Leveraging Electrocardiogram and Clinical Risk Factors

Type 2 Diabetes Mellitus (T2DM) remains a global health challenge, underscoring the need for early...

Apr 2025 http://arxiv.org/abs/2504.05338v1

MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation

Multilingual speech translation (ST) in the medical domain enhances patient care by enabling effic...

Apr 2025 http://arxiv.org/abs/2504.03546v1

FAST: Federated Active Learning with Foundation Models for Communication-efficient Sampling and Training

Federated Active Learning (FAL) has emerged as a promising framework to leverage large quantities ...

Apr 2025 http://arxiv.org/abs/2504.03783v4

Bias in Large Language Models Across Clinical Applications: A Systematic Review

Background: Large language models (LLMs) are rapidly being integrated into healthcare, promising t...

Apr 2025 http://arxiv.org/abs/2504.02917v1

Handover and SINR-Aware Path Optimization in 5G-UAV mmWave Communication using DRL

Path planning and optimization for unmanned aerial vehicles (UAVs)-assisted next-generation wirele...

Apr 2025 http://arxiv.org/abs/2504.02688v1

Revolutionizing Medical Data Transmission with IoMT: A Comprehensive Survey of Wireless Communication Solutions and Future Directions

Traditional hospital-based medical examination methods face unprecedented challenges due to the ag...

Apr 2025 http://arxiv.org/abs/2504.02446v1

FedPaI: Achieving Extreme Sparsity in Federated Learning via Pruning at Initialization

Federated Learning (FL) enables distributed training on edge devices but faces significant challen...

Apr 2025 http://arxiv.org/abs/2504.00308v1

Machine learning in cardiovascular risk assessment: Towards a precision medicine approach.

Cardiovascular diseases remain the leading cause of global morbidity and mortality. Validated risk s...

Apr 2025 40191920