Work Force

Operating under the influence: the effect of alcohol on operative performance using a virtual robotic training platform-an experimental comparative cohort study.

An elevated percentage of medical personnel reports using alcohol to relieve stress. Levels of alcoh...

The deconstructed procedural description in robotic colorectal surgery.

Increasing robotic surgical utilisation in colorectal surgery internationally has strengthened the n...

Frequency compensated diffusion model for real-scene dehazing.

Due to distribution shift, deep learning based methods for image dehazing suffer from performance de...

RNA3DB: A structurally-dissimilar dataset split for training and benchmarking deep learning models for RNA structure prediction.

With advances in protein structure prediction thanks to deep learning models like AlphaFold, RNA str...

Should Artificial Intelligence Be Used for Physician Documentation to Reduce Burnout?

Patient's Healthy-Limb Motion Characteristic-Based Assist-As-Needed Control Strategy for Upper-Limb Rehabilitation Robots.

The implementation of a progressive rehabilitation training model to promote patients' motivation ef...

Within-Session Reliability of fNIRS in Robot-Assisted Upper-Limb Training.

Functional near-infrared spectroscopy (fNIRS) seems opportune for neurofeedback in robot-assisted re...

Physics-Informed Deep Learning for Muscle Force Prediction With Unlabeled sEMG Signals.

Computational biomechanical analysis plays a pivotal role in understanding and improving human movem...

A fuzzy interval dynamic optimization model for surface and groundwater resources allocation under water shortage conditions, the case of West Azerbaijan Province, Iran.

The allocation of water in areas which face shortage of water especially during hot dry seasons is o...

Improving Vessel Segmentation with Multi-Task Learning and Auxiliary Data Available Only During Model Training.

Liver vessel segmentation in magnetic resonance imaging data is important for the computational anal...

PPII-AEAT: Prediction of protein-protein interaction inhibitors based on autoencoders with adversarial training.

Protein-protein interactions (PPIs) have shown increasing potential as novel drug targets. The desig...

Harnessing the Power of Generative AI for Clinical Summaries: Perspectives From Emergency Physicians.

STUDY OBJECTIVE: The workload of clinical documentation contributes to health care costs and profess...

Effectiveness of designing a knowledge-based artificial intelligence chatbot system into a nursing training program: A quasi-experimental design.

BACKGROUND: Chatbots have gained popularity in the healthcare industry due to their ability to provi...

Performance of Two Artificial Intelligence Generative Language Models on the Orthopaedic In-Training Examination.

BACKGROUND: Artificial intelligence (AI) generative large language models are powerful and increasin...

Evaluation of different approaches to define expert benchmark scores for new robotic training simulators based on the Medtronic HUGO™ RAS surgical robot experience.

New robot-assisted surgery platforms being developed will be required to have proficiency-based simu...

Tongue feature dataset construction and real-time detection.

BACKGROUND: Tongue diagnosis in traditional Chinese medicine (TCM) provides clinically important, ob...

Colorectal procedures with the novel Hugo™ RAS system: training process and case series report from a non-robotic surgical team.

BACKGROUND: The landscape of robotic surgery is evolving with the emergence of new platforms. Howeve...

Calculation of solvation force in molecular dynamics simulation by deep-learning method.

Electrostatic calculations are generally used in studying the thermodynamics and kinetics of biomole...

Recognition of Genetic Conditions After Learning With Images Created Using Generative Artificial Intelligence.

IMPORTANCE: The lack of standardized genetics training in pediatrics residencies, along with a short...

Human-like acceleration and deceleration control of a robot astronaut floating in a space station.

The acceleration and deceleration (AD) motions are the basic motion modes of robot astronauts moving...

Design and utilisation of a novel, high-fidelity, low-cost, hybrid-tissue simulation model to facilitate training in robot-assisted partial nephrectomy.

Robot-assisted partial nephrectomy (RAPN) has rapidly evolved as the standard of care for appropriat...