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Subcategories: Clinical Trials Environmental Health Ethics Health Policy Medicaid Medical Education Military Medicine Stem Cell Research US Health Policy Work Force

Showing 2479-2499 of 8,541 articles

Diagnostic Uncertainty Limits the Potential of Early Warning Signals to Identify Epidemic Emergence

Methods to detect the emergence of infectious diseases, and approach to the "critical transition" ...

Apr 2025 http://arxiv.org/abs/2504.11352v1

PatrolVision: Automated License Plate Recognition in the wild

Adoption of AI driven techniques in public services remains low due to challenges related to accur...

Apr 2025 http://arxiv.org/abs/2504.10810v1

Accurate Diagnosis of Respiratory Viruses Using an Explainable Machine Learning with Mid-Infrared Biomolecular Fingerprinting of Nasopharyngeal Secretions

Accurate identification of respiratory viruses (RVs) is critical for outbreak control and public h...

Apr 2025 http://arxiv.org/abs/2504.09211v1

[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

ThermoStereoRT: Thermal Stereo Matching in Real Time via Knowledge Distillation and Attention-based Refinement

We introduce ThermoStereoRT, a real-time thermal stereo matching method designed for all-weather c...

Apr 2025 http://arxiv.org/abs/2504.07418v1

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

A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains

In a world where new domains are constantly discovered and machine learning (ML) is applied to aut...

Apr 2025 http://arxiv.org/abs/2504.04017v1

DiSRT-In-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recovery

In-bed human mesh recovery can be crucial and enabling for several healthcare applications, includ...

Apr 2025 http://arxiv.org/abs/2504.03006v1

Reinsuring AI: Energy, Agriculture, Finance & Medicine as Precedents for Scalable Governance of Frontier Artificial Intelligence

The governance of frontier artificial intelligence (AI) systems--particularly those capable of cat...

Apr 2025 http://arxiv.org/abs/2504.02127v1

PrediHealth: Telemedicine and Predictive Algorithms for the Care and Prevention of Patients with Chronic Heart Failure

The management of chronic heart failure presents significant challenges in modern healthcare, requ...

Apr 2025 http://arxiv.org/abs/2504.03737v4

Exploring Personalized Federated Learning Architectures for Violence Detection in Surveillance Videos

The challenge of detecting violent incidents in urban surveillance systems is compounded by the vo...

Apr 2025 http://arxiv.org/abs/2504.00857v1

Timely Trajectory Reconstruction in Finite Buffer Remote Tracking Systems

Remote tracking systems play a critical role in applications such as IoT, monitoring, surveillance...

Apr 2025 http://arxiv.org/abs/2504.00849v2

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

Breast Cancer Detection with Standalone AI versus Radiologist Interpretation of Unilateral Surveillance Mammography after Mastectomy.

Background Limited data are available regarding the accuracy of artificial intelligence (AI) algorit...

Apr 2025 40197097

Harnessing artificial intelligence for infection control and prevention in hospitals: A comprehensive review of current applications, challenges, and future directions.

Hospital-acquired infections (HAIs) significantly burden global healthcare systems, exacerbated by a...

Apr 2025 40254319

Browse Categories

Diagnostic Uncertainty Limits the Potential of Early Warning Signals to Identify Epidemic Emergence

PatrolVision: Automated License Plate Recognition in the wild

Accurate Diagnosis of Respiratory Viruses Using an Explainable Machine Learning with Mid-Infrared Biomolecular Fingerprinting of Nasopharyngeal Secretions

[Advancements in machine learning applications in refractive surgery].

ThermoStereoRT: Thermal Stereo Matching in Real Time via Knowledge Distillation and Attention-based Refinement

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

A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains

DiSRT-In-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recovery

Reinsuring AI: Energy, Agriculture, Finance & Medicine as Precedents for Scalable Governance of Frontier Artificial Intelligence

PrediHealth: Telemedicine and Predictive Algorithms for the Care and Prevention of Patients with Chronic Heart Failure

Exploring Personalized Federated Learning Architectures for Violence Detection in Surveillance Videos

Timely Trajectory Reconstruction in Finite Buffer Remote Tracking Systems

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

Breast Cancer Detection with Standalone AI versus Radiologist Interpretation of Unilateral Surveillance Mammography after Mastectomy.

Harnessing artificial intelligence for infection control and prevention in hospitals: A comprehensive review of current applications, challenges, and future directions.

Explainable Boosting Machine for Predicting Claim Severity and Frequency in Car Insurance

Utsarjan: A smartphone App for providing kidney care and real-time assistance to children with nephrotic syndrome

Patients Speak, AI Listens: LLM-based Analysis of Online Reviews Uncovers Key Drivers for Urgent Care Satisfaction

A Retrieval-Based Approach to Medical Procedure Matching in Romanian

Small Object Detection: A Comprehensive Survey on Challenges, Techniques and Real-World Applications

CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos

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