Work Force

Virtual Patient Simulations Using Social Robotics Combined With Large Language Models for Clinical Reasoning Training in Medical Education: Mixed Methods Study.

BACKGROUND: Virtual patients (VPs) are computer-based simulations of clinical scenarios used in heal...

Quantitative analysis and evaluation of winter and summer landscape colors in the Yangzhou ancient Canal utilizing deep learning.

Color is an important index for human visual evaluation of landscape, and it is also a key factor af...

Managing class imbalance in the training of a large language model to predict patient selection for total knee arthroplasty: Results from the Artificial intelligence to Revolutionise the patient Care pathway in Hip and knEe aRthroplastY (ARCHERY) project.

INTRODUCTION: This study set out to test the efficacy of different techniques used to manage to clas...

Effects of robot-assisted gait training within 1 week after stroke onset on degree of gait independence in individuals with hemiparesis: a propensity score-matched analysis in a single-center cohort study.

BACKGROUND: Robot-assisted gait training (RAGT) is an effective method for treating gait disorders i...

Integrating convolutional layers and biformer network with forward-forward and backpropagation training.

Accurate molecular property prediction is crucial for drug discovery and computational chemistry, fa...

Advancing Clinical Chatbot Validation Using AI-Powered Evaluation With a New 3-Bot Evaluation System: Instrument Validation Study.

BACKGROUND: The health care sector faces a projected shortfall of 10 million workers by 2030. Artifi...

Investigation of Inter-Patient, Intra-Patient, and Patient-Specific Based Training in Deep Learning for Classification of Heartbeat Arrhythmia.

Effective diagnosis of electrocardiogram (ECG) is one of the simplest and fastest ways to assess the...

Exploring temporal information dynamics in Spiking Neural Networks: Fast Temporal Efficient Training.

BACKGROUND: Spiking Neural Networks (SNNs) hold significant potential in brain simulation and tempor...

Introducing AI-generated cases (AI-cases) & standardized clients (AI-SCs) in communication training for veterinary students: perceptions and adoption challenges.

INTRODUCTION: The integration of Artificial Intelligence (AI) into medical education and healthcare ...

Novel Robotic Balloon-Based Device for Wrist-Extension Therapy of Hemiparesis Stroke Patients.

Upper-limb paresis is one of the main complications after stroke. It is commonly associated with imp...

Replica tree-based federated learning using limited data.

Learning from limited data has been extensively studied in machine learning, considering that deep n...

ADFQ-ViT: Activation-Distribution-Friendly post-training Quantization for Vision Transformers.

Vision Transformers (ViTs) have exhibited exceptional performance across diverse computer vision tas...

Perspectives of Black, Latinx, Indigenous, and Asian Communities on Health Data Use and AI: Cross-Sectional Survey Study.

Despite excitement around artificial intelligence (AI)-based tools in health care, there is work to ...

Deep-learning approach for developing bilayered electromagnetic interference shielding composite aerogels based on multimodal data fusion neural networks.

A non-experimental approach to developing high-performance EMI shielding materials is urgently neede...

Enhancing diagnostic accuracy of thyroid nodules: integrating self-learning and artificial intelligence in clinical training.

PURPOSE: This study explores a self-learning method as an auxiliary approach in residency training f...

Effect of Parallel Cognitive-Motor Training Tasks on Hemodynamic Responses in Robot-Assisted Rehabilitation.

Previous studies suggest that the combination of robot-assisted training with other concurrent task...

Equity in Radiology Research Is Essential for Improving Diversity and Inclusivity in Clinical Data, Reducing Bias and Increasing Artificial Intelligence Accuracy.

Enhancing automated right-sided early-stage breast cancer treatments via deep learning model adaptation without additional training.

BACKGROUND: Input data curation and model training are essential, but time-consuming steps in buildi...

Artificial Intelligence (AI) - Powered Documentation Systems in Healthcare: A Systematic Review.

Artificial Intelligence (AI) driven documentation systems are positioned to enhance documentation ef...

Accurate Prediction of ωB97X-D/6-31G* Equilibrium Geometries from a Neural Net Starting from Merck Molecular Force Field (MMFF) Molecular Mechanics Geometries.

Starting from Merck Molecular Force Field (MMFF) geometries, a neural-net based model has been formu...

Robot-Assisted Approach to Diabetes Care Consultations: Enhancing Patient Engagement and Identifying Therapeutic Issues.

: Diabetes is a rapidly increasing global health challenge compounded by a critical shortage of diab...