Public Health & Policy

Work Force

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

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Endoscopic ultrasound diagnosis system based on deep learning in images capture and segmentation training of solid pancreatic masses.

BACKGROUND: Early detection of solid pancreatic masses through contrast-enhanced harmonic endoscopic...

Simultaneous assessment and training of an upper-limb amputee using incremental machine-learning-based myocontrol: a single-case experimental design.

BACKGROUND: Machine-learning-based myocontrol of prosthetic devices suffers from a high rate of aban...

[Update: Small bowel diseases in computed tomography and magnetic resonance imaging].

CLINICAL/METHODICAL ISSUE: Radiological procedures play a crucial role in the diagnosis of small bow...

Age-specific biomechanical challenges and engagement in dynamic balance training with robotic or virtual real-time visual feedback.

Challenging balance training that targets age-related neuromuscular and motor coordination deficits ...

Synthesis of large scale 3D microscopic images of 3D cell cultures for training and benchmarking.

The analysis of 3D microscopic cell culture images plays a vital role in the development of new ther...

A modified weighted chimp optimization algorithm for training feed-forward neural network.

Swarm intelligence algorithms (SI) have an excellent ability to search for the optimal solution and ...

An octonion-based nonlinear echo state network for speech emotion recognition in Metaverse.

While the Metaverse is becoming a popular trend and drawing much attention from academia, society, a...

Quality assessment of traditional Chinese medicine based on data fusion combined with machine learning: A review.

The authenticity and quality of traditional Chinese medicine (TCM) directly impact clinical efficacy...

Teaching robotic cystectomy: prospective pilot clinical validation of the ERUS training curriculum.

OBJECTIVE: To provide the first clinical validation of the European Association of Urology Robotic U...

A Deep Learning Model for 3D Ground Reaction Force Estimation Using Shoes with Three Uniaxial Load Cells.

Ground reaction force (GRF) is essential for estimating muscle strength and joint torque in inverse ...

AiZynthTrain: Robust, Reproducible, and Extensible Pipelines for Training Synthesis Prediction Models.

We introduce the AiZynthTrain Python package for training synthesis models in a robust, reproducible...

Cue: a deep-learning framework for structural variant discovery and genotyping.

Structural variants (SVs) are a major driver of genetic diversity and disease in the human genome an...

G2GT: Retrosynthesis Prediction with Graph-to-Graph Attention Neural Network and Self-Training.

Retrosynthesis prediction, the task of identifying reactant molecules that can be used to synthesize...

Application of synthetic data in the training of artificial intelligence for automated quality assurance in magnetic resonance imaging.

BACKGROUND: Magnetic resonance imaging scanner faults can be missed during routine quality assurance...

CHARLES: A C++ fixed-point library for Photonic-Aware Neural Networks.

In this paper we present CHARLES (C++ pHotonic Aware neuRaL nEtworkS), a C++ library aimed at provid...

Predicting Churn in Online Games by Quantifying Diversity of Engagement.

Understanding engagement patterns of users in online platforms, may it be games, online social netwo...

Optical neuroimaging and neurostimulation in surgical training and assessment: A state-of-the-art review.

INTRODUCTION: Functional near-infrared spectroscopy (fNIRS) is a non-invasive optical neuroimaging t...

Current practises and the future of robotic surgical training.

INTRODUCTION: This study reviews the current state of robotic surgery training for surgeons, includi...

Unlocking the microbial studies through computational approaches: how far have we reached?

The metagenomics approach accelerated the study of genetic information from uncultured microbes and ...

Deep learning intravoxel incoherent motion modeling: Exploring the impact of training features and learning strategies.

PURPOSE: The development of advanced estimators for intravoxel incoherent motion (IVIM) modeling is ...

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