Public Health & Policy

Work Force

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

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Utilizing InVEST ecosystem services model combined with deep learning and fallback bargaining for effective sediment retention in Northern Iran.

This study aimed to integrate game theory and deep learning algorithms with the InVEST Ecosystem Ser...

Exploiting passive behaviours for diverse musical playing using the parametric hand.

Creativity and style in music playing originates from constraints and imperfect interactions between...

Effectiveness of robot-assisted training in adults with Parkinson's disease: a systematic review and meta-analysis.

AIM: This work aimed to update and summarize the existing evidence on the effectiveness of robot-ass...

Accelerating the pace of innovation in robotics by fostering diversity and inclusive leadership.

Diverse and inclusive teams are not merely a moral imperative but also a catalyst for scientific exc...

Distantly Supervised Biomedical Relation Extraction via Negative Learning and Noisy Student Self-Training.

Biomedical relation extraction aims to identify underlying relationships among entities, such as gen...

A multi-memory-augmented network with a curvy metric method for video anomaly detection.

Anomaly detection task in video mainly refers to identifying anomalous events that do not conform to...

Artificial Intelligence as a Discriminator of Competence in Urological Training: Are We There?

PURPOSE: Assessments in medical education play a central role in evaluating trainees' progress and e...

Automated segmentation of dental restorations using deep learning: exploring data augmentation techniques.

OBJECTIVES: Deep learning has revolutionized image analysis for dentistry. Automated segmentation of...

Domain generalization for mammographic image analysis with contrastive learning.

The deep learning technique has been shown to be effectively addressed several image analysis tasks ...

Integrating microbial profiling and machine learning for inference of drowning sites: a forensic investigation in the Northwest River.

Drowning incidents present significant challenges for forensic investigators in determining the exac...

Comparative study of DCNN and image processing based classification of chest X-rays for identification of COVID-19 patients using fine-tuning.

The conventional detection of COVID-19 by evaluating the CT scan images is tiresome, often experienc...

High-throughput platform for label-free sorting of 3D spheroids using deep learning.

End-stage liver diseases have an increasing impact worldwide, exacerbated by the shortage of transpl...

Integration of AI-Assisted in Digital Cervical Cytology Training: A Comparative Study.

OBJECTIVE: This study aimed to investigate the supporting role of artificial intelligence (AI) in di...

Estimation of fatty acid composition in mammary adipose tissue using deep neural network with unsupervised training.

PURPOSE: To develop a deep learning-based method for robust and rapid estimation of the fatty acid c...

Deep learning dose prediction to approach Erasmus-iCycle dosimetric plan quality within seconds for instantaneous treatment planning.

BACKGROUND AND PURPOSE: Fast, high-quality deep learning (DL) prediction of patient-specific 3D dose...

Self-Supervised Pre-Training via Multi-View Graph Information Bottleneck for Molecular Property Prediction.

Molecular representation learning has remarkably accelerated the development of drug analysis and di...

tDKI-Net: A Joint q-t Space Learning Network for Diffusion-Time-Dependent Kurtosis Imaging.

Time-dependent diffusion magnetic resonance imaging (TDDMRI) is useful for the non-invasive characte...

Comparing effects of wearable robot-assisted gait training on functional changes and neuroplasticity: A preliminary study.

Robot-assisted gait training (RAGT) is a promising technique for improving the gait ability of elder...

Classifying forensically important flies using deep learning to support pathologists and rescue teams during forensic investigations.

Forensic entomology can help estimate the postmortem interval in criminal investigations. In particu...

Data-dependent stability analysis of adversarial training.

Stability analysis is an essential aspect of studying the generalization ability of deep learning, a...

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