Public Health & Policy

Latest AI and machine learning research in public health & policy for healthcare professionals.

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Showing 3256-3276 of 9,137 articles
SLAM-Based Navigation and Fault Resilience in a Surveillance Quadcopter with Embedded Vision Systems

We present an autonomous aerial surveillance platform, Veg, designed as a fault-tolerant quadcopte...

Leveraging Large Language Models for Multi-Class and Multi-Label Detection of Drug Use and Overdose Symptoms on Social Media

Drug overdose remains a critical global health issue, often driven by misuse of opioids, painkille...

Large Language Models for Drug Overdose Prediction from Longitudinal Medical Records

The ability to predict drug overdose risk from a patient's medical records is crucial for timely i...

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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" ...

PatrolVision: Automated License Plate Recognition in the wild

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

[Advancements in machine learning applications in refractive surgery].

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

(1)
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...

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...

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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...

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...

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...

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...

Timely Trajectory Reconstruction in Finite Buffer Remote Tracking Systems

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

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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...

(2)
Apr 2025 40197097
Explainable Boosting Machine for Predicting Claim Severity and Frequency in Car Insurance

In a context of constant increase in competition and heightened regulatory pressure, accuracy, act...

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

Background Telemedicine has the potential to provide secure and cost-effective healthcare at the t...

(3)
Patients Speak, AI Listens: LLM-based Analysis of Online Reviews Uncovers Key Drivers for Urgent Care Satisfaction

Investigating the public experience of urgent care facilities is essential for promoting community...

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