Work Force

Robot-Aided Training of Propulsion: Effects of Torque Pulses Applied to the Hip and Knee Joint Under User-Driven Treadmill Control.

OBJECTIVE: to establish whether torque pulses applied by an exoskeleton to the hip and knee joint mo...

An image dataset for analyzing tea picking behavior in tea plantations.

Tea is an important economic product in China, and tea picking is a key agricultural activity. As th...

AI Interventions to Alleviate Healthcare Shortages and Enhance Work Conditions in Critical Care: Qualitative Analysis.

BACKGROUND: The escalating global scarcity of skilled health care professionals is a critical concer...

Exploring the impact of land use on bird diversity in high-density urban areas using explainable machine learning models.

Amid rapid urbanization, land use shifts in cities globally have profound effects on ecosystems and ...

Machine learning assessment of dredging impacts on the phytoplankton community on the Brazilian equatorial margin: A multivariate analysis.

Dredging in estuarine systems significantly impacts phytoplankton communities, with suspended partic...

Diversity and dermatology through the lens of generative artificial intelligence portrayals: a demographic analysis of race and gender representation.

Disentangled Active Learning on Graphs.

Active learning on graphs (ALG) has emerged as a compelling research field due to its capacity to ad...

G-SET-DCL: a guided sequential episodic training with dual contrastive learning approach for colon segmentation.

PURPOSE: This article introduces a novel deep learning approach to substantially improve the accurac...

Assessing the Effectiveness of Interactive Robot-Assisted Virtual Health Coaching for Health Literacy and Disease Knowledge of Patients with Chronic Kidney Disease: Quasiexperimental Study.

BACKGROUND: Chronic kidney disease (CKD) imposes a significant global health and economic burden, im...

A Symbolic AI Approach to Medical Training.

In traditional medical education, learners are mostly trained to diagnose and treat patients through...

Searching to extrapolate embedding for out-of-graph node representation learning.

Out-of-graph node representation learning aims at learning about newly arrived nodes for a dynamic g...

A Plasma Proteomics-Based Model for Identifying the Risk of Postpartum Depression Using Machine Learning.

Postpartum depression (PPD) poses significant risks to maternal and infant health, yet proteomic ana...

Avoiding catastrophic overfitting in fast adversarial training with adaptive similarity step size.

Adversarial training has become a primary method for enhancing the robustness of deep learning model...

Open-source Large Language Models can Generate Labels from Radiology Reports for Training Convolutional Neural Networks.

RATIONALE AND OBJECTIVES: Training Convolutional Neural Networks (CNN) requires large datasets with ...

Automatic image generation and stage prediction of breast cancer immunobiological through a proposed IHC-GAN model.

Invasive breast cancer diagnosis and treatment planning require an accurate assessment of human epid...

Artificial Intelligence-Powered Training Database for Clinical Thinking: App Development Study.

BACKGROUND: With the development of artificial intelligence (AI), medicine has entered the era of in...

Evaluation of an enhanced ResNet-18 classification model for rapid On-site diagnosis in respiratory cytology.

OBJECTIVE: Rapid on-site evaluation (ROSE) of respiratory cytology specimens is a critical technique...

Effectiveness of robot-assisted task-oriented training intervention for upper limb and daily living skills in stroke patients: A meta-analysis.

PURPOSE: Stroke is one of the leading causes of acquired disability in adults in high-income countri...

Machine learning derived retinal pigment score from ophthalmic imaging shows ethnicity is not biology.

Few metrics exist to describe phenotypic diversity within ophthalmic imaging datasets, with research...

International multicenter validation of AI-driven ultrasound detection of ovarian cancer.

Ovarian lesions are common and often incidentally detected. A critical shortage of expert ultrasound...

IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-Training.

In medical Vision-Language Pre-training (VLP), significant work focuses on extracting text and image...