Public Health & Policy

Work Force

Latest AI and machine learning research in work force for healthcare professionals.

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Showing 232-252 of 4,174 articles
Deep learning modelling to forecast emergency department visits using calendar, meteorological, internet search data and stock market price.

BACKGROUND: Accurate prediction of hospital emergency department (ED) patient visits and acuity leve...

Comparative analysis of automated foul detection in football using deep learning architectures.

Automated foul detection in football represents a challenging task due to the dynamic nature of the ...

Burnout Among Physicians Treating Patients with Multiple Sclerosis in the United States: A Podcast.

Physician burnout, a growing crisis in the healthcare system of the United States of America (USA), ...

The intelligent development and preservation of folk sports culture under artificial intelligence.

To promote the intelligent development and preservation of folk sports culture, this work proposes a...

Predicting responsiveness to a dialectical behaviour therapy skills training app for recurrent binge eating: A machine learning approach.

OBJECTIVE: Smartphone applications (apps) show promise as an effective and scalable intervention mod...

SUMediPose: A 2D-3D pose estimation dataset.

Biomechanical movement analysis is crucial in medical and sports contexts, yet the technology remain...

Repetitive training enhances the pattern recognition capability of cultured neural networks.

Cultured neural networks in vitro have demonstrated the biocomputing capability to recognize pattern...

Achieving GPT-4o level performance in astronomy with a specialized 8B-parameter large language model.

AstroSage-Llama-3.1-8B is a domain-specialized natural-language AI assistant tailored for research i...

Deep learning unlocks the true potential of organ donation after circulatory death with accurate prediction of time-to-death.

Increasing the number of organ donations after circulatory death (DCD) has been identified as one of...

Performance of GPT-4 Turbo and GPT-4o in Korean Society of Radiology In-Training Examinations.

OBJECTIVE: Despite the potential of large language models for radiology training, their ability to h...

Enhancing Accuracy of Operative Reports with Automated Artificial Intelligence Analysis of Surgical Video.

BACKGROUND: The creation of operative reports is a tedious documentation task that increases adminis...

Delayed flowering phenology of red-flowering plants in response to hummingbird migration.

The radiation of angiosperms is marked by a phenomenal diversity of floral size, shape, color, scent...

Artificial intelligence in the diagnosis and management of refractive errors.

Refractive error is among the leading causes of visual impairment globally. The diagnosis and manage...

High-order diversity feature learning for pedestrian attribute recognition.

Pedestrian attribute recognition (PAR) involves accurately identifying multiple attributes present i...

Leveraging ensemble convolutional neural networks and metaheuristic strategies for advanced kidney disease screening and classification.

To address the public health issue of renal failure and the global shortage of nephrologists, an AI-...

Exploring cortical excitability in children with cerebral palsy through lower limb robot training based on MI-BCI.

This study aims to compare brain activity differences under the motor imagery-brain-computer interfa...

Compact CNN module balancing between feature diversity and redundancy.

Feature diversity and redundancy play a crucial role in enhancing a model's performance, although th...

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