Public Health & Policy

Work Force

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

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Work-rate-guided exercise testing in patients with incomplete spinal cord injury using a robotics-assisted tilt-table.

PURPOSE: Robotics-assisted tilt-table (RTT) technology allows neurological rehabilitation therapy to...

Robot-assisted gait training improves motor performances and modifies Motor Unit firing in poststroke patients.

BACKGROUND: Robotics and related technologies are realizing their promise to improve the delivery of...

A new training algorithm using artificial neural networks to classify gender-specific dynamic gait patterns.

The aim of this study was to present a new training algorithm using artificial neural networks calle...

HS-GC-IMS couples with convolutional neural network for Burkholderia gladioli pv. Cocovenenans detection in Auricularia Auricula.

The shortage in early detection methods for the pathogen Burkholderia gladioli pv. cocovenenans (BGC...

Progressive fine-to-coarse reconstruction for accurate low-bit post-training quantization in vision transformers.

Due to its efficiency, Post-Training Quantization (PTQ) has been widely adopted for compressing Visi...

Semantic-Rearrangement-based Hierarchical Alignment for domain generalized segmentation.

Domain generalized semantic segmentation is an essential computer vision task, for which models only...

Paper-based SERS chip with adaptive attention neural network for pathogen identification.

High-speed and accuracy identification of pathogens has become increasingly critical in both individ...

Artificial Intelligence in Microsurgical Education: A Systematic Review of Its Role in Training Surgeons.

Microsurgery is associated with a steep learning curve that requires extensive training through supe...

MS25: Materials Science-Focused Benchmark Data Set for Machine Learning Interatomic Potentials.

We present MS25, a benchmark data set for evaluating machine learning interatomic potentials (MLIPs)...

Dynamic Training Enhances Machine Learning Potentials for Long-Lasting Molecular Dynamics.

Molecular dynamics (MD) simulations are vital for exploring complex systems in computational physics...

Efficient Training Corpus Retrieval for Large Language Model Fine Tuning: A Case Study in Cancer.

The objective is to create an automated knowledge extraction tool for cancer research that builds hi...

Ambient Listening in Clinical Practice: Evaluating EPIC Signal Data Before and After Implementation and Its Impact on Physician Workload.

The widespread adoption of EHRs following the HITECH Act has increased the clinician documentation b...

Dataset for training neural networks in concrete crack detection: laboratory-classified beam and column images.

The construction industry is increasingly incorporating artificial intelligence into processes for t...

Distribution Learning Based on Evolutionary Algorithm-Assisted Deep Neural Networks for Imbalanced Image Classification.

Imbalanced image classification faces critical challenges in balancing the quality and diversity of ...

Equitably Applying Artificial Intelligence in the United States Workforce Using Training and Collaboration.

Advances in artificial intelligence (AI) have raised ethical concerns related to fairness, privacy, ...

First report on analysis of chemical space, scaffold diversity, critical structural features of HDAC11 inhibitors.

In the histone deacetylase (HDAC) family, HDAC11 is the smallest and a single member under the class...

The Current Landscape of Artificial Intelligence in Plastic Surgery Education and Training: A Systematic Review.

OBJECTIVE: Artificial intelligence (AI) shows promise in surgery, but its role in plastic surgery ed...

Neurologists and Clinical Informatics: Realizing the Potential of Digital Medicine.

Clinical informatics (CI) is an emerging field within biomedical informatics that sits at the inters...

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