Public Health & Policy

Work Force

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

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Showing 358-378 of 4,174 articles
Application of Wearable Insole Sensors in In-Place Running: Estimating Lower Limb Load Using Machine Learning.

Musculoskeletal injuries induced by high-intensity and repetitive physical activities represent one ...

Advancing High-Throughput Cellular Atomic Force Microscopy with Automation and Artificial Intelligence.

Atomic force microscopy (AFM) has reached a significant level of maturity in biology, demonstrated b...

Unveiling genetic basis of seedling emergence from deep soil depth under dry direct- seeded conditions in rice ( L.).

Water scarcity and labor shortage pose significant challenges in rice farming. Direct-seeded rice (D...

Applications of Artificial Intelligence for Nonpsychomotor Skills Training in Health Professions Education: A Scoping Review.

PURPOSE: This study explores uses of artificial intelligence (AI) in health professions education fo...

SeLa-MIL: Developing an instance-level classifier via weakly-supervised self-training for whole slide image classification.

BACKGROUND AND OBJECTIVE: Pathology image classification is crucial in clinical cancer diagnosis and...

Deep learning-based Monte Carlo dose prediction for heavy-ion online adaptive radiotherapy and fast quality assurance: A feasibility study.

BACKGROUND: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for e...

Preliminary investigation of an artificial intelligence-based cognitive behavioral therapy training tool.

We developed an asynchronous online cognitive behavioral therapy (CBT) training tool that provides a...

A Machine Learning Approach Using Topic Modeling to Identify and Assess Experiences of Patients With Colorectal Cancer: Explorative Study.

BACKGROUND: The rising number of cancer survivors and the shortage of health care professionals chal...

Using machine learning to forecast peak health care service demand in real-time during the 2022-23 winter season: A pilot in England, UK.

During winter months, there is increased pressure on health care systems in temperature climates due...

Combining various training and adaptation algorithms for ensemble few-shot classification.

To mitigate the shortage of labeled data, Few-Shot Classification (FSC) methods train deep neural ne...

A Novel Deep Ensemble Method for Selective Classification of Electrocardiograms.

OBJECTIVE: Telehealth paradigms are essential for remotely managing patients with chronic conditions...

Enhancing Domain Diversity of Transfer Learning-Based SSVEP-BCIs by the Reconstruction of Channel Correlation.

OBJECTIVE: The application of transfer learning, specifically pre-training and fine-tuning, in stead...

Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis.

This study aimed to compare and evaluate the prediction accuracy and risk of bias (ROB) of post-trau...

Challenges in standardizing preimplantation kidney biopsy assessments and the potential of AI-Driven solutions.

PURPOSE OF REVIEW: This review explores the variability in preimplantation kidney biopsy processing ...

Developing a Machine Learning-Based Automated Patient Engagement Estimator for Telehealth: Algorithm Development and Validation Study.

BACKGROUND: Patient engagement is a critical but challenging public health priority in behavioral he...

Generative Artificial Intelligence Use in Healthcare: Opportunities for Clinical Excellence and Administrative Efficiency.

Generative Artificial Intelligence (Gen AI) has transformative potential in healthcare to enhance pa...

Design and Validation of a Pancake Style Planetary Gearbox for an Eddy Current-Based Wearable Gait Training Robot.

Eddy current brakes have been recently used for functional resistance training in individuals with n...

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