Staffing & Scheduling

Peptide Property Prediction for Mass Spectrometry Using AI: An Introduction to State of the Art Models.

This review explores state of the art machine learning and deep learning models for peptide property...

Exploring cortical excitability in children with cerebral palsy through lower limb robot training based on MI-BCI.

This study aims to compare brain activity differences under the motor imagery-brain-computer interfa...

Artificial Intelligence Augmentation: Performance of GPT-4 and GPT-3.5 on the Plastic Surgery In-service Examination.

BACKGROUND: ChatGPT-3.5 scored in the 52nd percentile of the Plastic Surgery In-service Examination,...

AI-enhanced resuscitation image production training: advancing diversity and inclusion with GPT-4o.

The potential of artificial intelligence reading label system on the training of ophthalmologists in retinal diseases, a multicenter bimodal multi-disease study.

OBJECTIVE: To assess the potential of artificial intelligence reading label system on the training o...

Ethical Artificial Intelligence in Nursing Workforce Management and Policymaking: Bridging Philosophy and Practice.

Despite artificial intelligence's (AI) transformative potential in healthcare, nursing workforce sc...

A Narrative Review on the Application of Large Language Models to Support Cancer Care and Research.

OBJECTIVES: The emergence of large language models has resulted in a significant shift in informatic...

Longitudinal study on the impact of short-term radiological interpretation training on resting-state brain network hubs.

Radiological expertise develops through extensive experience in specific imaging modalities. While p...

Unsupervised brain MRI tumour segmentation via two-stage image synthesis.

Deep learning shows promise in automated brain tumour segmentation, but it depends on costly expert ...

Prioritization strategies for non-target screening in environmental samples by chromatography - High-resolution mass spectrometry: A tutorial.

Non-target screening (NTS) using chromatography coupled to high-resolution mass spectrometry (HRMS),...

A muscle synergy-based method to improve robot-assisted movements.

There is increasing interest in using assistive robotic devices to support motor re-learning and rec...

Brain-Inspired Learning, Perception, and Cognition: A Comprehensive Review.

The progress of brain cognition and learning mechanisms has provided new inspiration for the next ge...

Brain tumor segmentation and detection in MRI using convolutional neural networks and VGG16.

BackgroundIn this research, we explore the application of Convolutional Neural Networks (CNNs) for t...

FSDM: An efficient video super-resolution method based on Frames-Shift Diffusion Model.

Video super-resolution is a fundamental task aimed at enhancing video quality through intricate mode...

[Artificial intelligence in advanced surgical training : An overview].

The integration of artificial intelligence (AI) into medical education and advanced training is gain...

Artificial intelligence-enhanced video-based assessment of surgical quality for training in laparoscopic right hemicolectomy: The "Marginal Gains" pilot study.

INTRODUCTION: The study aims to propose a standardised workflow with critical views for surgical qua...

Learning-Based Models for Predicting IVIG Resistance and Coronary Artery Lesions in Kawasaki Disease: A Review of Technical Aspects and Study Features.

Kawasaki disease (KD) is a common pediatric vasculitis, with coronary artery lesions (CALs) represen...

Exploring Contrastive Pre-Training for Domain Connections in Medical Image Segmentation.

Unsupervised domain adaptation (UDA) in medical image segmentation aims to improve the generalizatio...

Stakeholder acceptance of a robot-assisted social training scenario for autistic children compared to a tablet-computer-based approach.

Recent studies indicate the potential benefits of robot-assisted therapy (RAT) for children on the a...

The future outlook for data in orthopedic surgery: A new era of real-time innovation.

The orthopedic field is on the brink of a significant transformation-a shift from retrospective anal...

Triage of Patient Messages Sent to the Eye Clinic via the Electronic Medical Record: A Comparative Study on AI and Human Triage Performance.

: Assess the ability of ChatGPT-4 (GPT-4) to effectively triage patient messages sent to the general...