Work Force

Say Real-time Linguistic Guidance Supports Novices in Writing Utterances for Conversational Agent Training.

Writing utterances to train conversational agents can be a challenging and time-consuming task, and ...

Developing an Effective Off-the-job Training Model and an Automated Evaluation System for Thoracoscopic Esophageal Atresia Surgery.

BACKGROUND: Pediatric minimally invasive surgery requires advanced technical skills. Off-the-job tra...

Evidence that robot-assisted gait training modulates neuroplasticity after stroke: An fMRI pilot study based on graph theory analysis.

OBJECTIVES: To investigate alterations of whole-brain network after stroke and therapeutic mechanism...

AI in Neuro-Ophthalmology: Current Practice and Future Opportunities.

BACKGROUND: Neuro-ophthalmology frequently requires a complex and multi-faceted clinical assessment ...

The effect of robot-assisted versus standard training on motor function following subacute rehabilitation after ischemic stroke - protocol for a randomised controlled trial nested in a prospective cohort (RoboRehab).

BACKGROUND: Body weight unloaded treadmill training has shown limited efficacy in further improving ...

Using Artificial Intelligence in Electronic Health Record Systems to Mitigate Physician Burnout: A Roadmap.

Physician burnout, a significant problem in modern healthcare, adversely affects healthcare professi...

Identifying Key Training Load and Intensity Indicators in Ice Hockey Using Unsupervised Machine Learning.

To identify key training load (TL) and intensity indicators in ice hockey, practice, and game data w...

Guided image generation for improved surgical image segmentation.

The lack of large datasets and high-quality annotated data often limits the development of accurate ...

Multicenter privacy-preserving model training for deep learning brain metastases autosegmentation.

OBJECTIVES: This work aims to explore the impact of multicenter data heterogeneity on deep learning ...

Letter to the Editor: "The Combined Effect of Robot-assisted Therapy and Activities of Daily Living Training on Upper Limb Recovery in Persons With Subacute Stroke: A Randomized Controlled Trial".

Subgraph-Aware Graph Kernel Neural Network for Link Prediction in Biological Networks.

Identifying links within biological networks is important in various biomedical applications. Recent...

Directly training temporal Spiking Neural Network with sparse surrogate gradient.

Brain-inspired Spiking Neural Networks (SNNs) have attracted much attention due to their event-based...

Continual pre-training mitigates forgetting in language and vision.

Pre-trained models are commonly used in Continual Learning to initialize the model before training o...

Synthesize Personalized Training for Robot-Assisted Upper Limb Rehabilitation With Diversity Enhancement.

For upper limb rehabilitation, the robot-assisted technique in combination with serious games requir...

Overground Gait Training With a Wearable Robot in Children With Cerebral Palsy: A Randomized Clinical Trial.

IMPORTANCE: Cerebral palsy (CP) is the most common developmental motor disorder in children. Robot-a...

Training immunophenotyping deep learning models with the same-section ground truth cell label derivation method improves virtual staining accuracy.

INTRODUCTION: Deep learning (DL) models predicting biomarker expression in images of hematoxylin and...

Can the Administrative Loads of Physicians be Alleviated by AI-Facilitated Clinical Documentation?

BACKGROUND: Champions of AI-facilitated clinical documentation have suggested that the emergent tech...

PT-KGNN: A framework for pre-training biomedical knowledge graphs with graph neural networks.

Biomedical knowledge graphs (KGs) serve as comprehensive data repositories that contain rich informa...

A case study of lean digital transformation through robotic process automation in healthcare.

Under Taiwan's National Health Insurance (NHI) system, it's crucial for all healthcare providers to ...

Enhancing post-training evaluation of annual performance agreement training: A fusion of fsQCA and artificial neural network approach.

This study aims to enhance the post-training evaluation of the annual performance agreement (APA) tr...

A blended wavefield separation method for seismic exploration based on improved GoogLeNet.

Simultaneous acquisition is a construction method that has been proposed in recent years to meet the...