Sports Medicine

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...

Development of Machine Learning Algorithm to Predict the Risk of Incontinence After Robot-Assisted Radical Prostatectomy.

Predicting postoperative incontinence beforehand is crucial for intensified and personalized rehabi...

Applying Object Detection and Large Language Model to Establish a Smart Telemedicine Diagnosis System with Chatbot: A Case Study of Pressure Injuries Diagnosis System.

The scarcity of medical resources and personnel has worsened due to COVID-19. Telemedicine faces ch...

Predicting the Severity and Discharge Prognosis of Traumatic Brain Injury Based on Intracranial Pressure Data Using Machine Learning Algorithms.

OBJECTIVE: This study aimed to explore the potential of employing machine learning algorithms based ...

Potential of artificial intelligence in injury prevention research and practice.

There is increasing interest and use of artificial Intelligence algorithms and methods in biomedical...

Artificial intelligence to classify acquired intestinal injury in preterm neonates-a new perspective.

Effect on functional outcome of robotic assisted rehabilitation versus conventional rehabilitation in patients with complete spinal cord injury: a prospective comparative study.

STUDY DESIGN: Prospective Comparative Study.

Flexible 3D Force Sensor Based on Polymer Nanocomposite for Soft Robotics and Medical Applications.

The three-dimensional (3D) force sensor has become essential in industrial and medical applications....

Editorial Commentary: Evaluation for Cartilage Lesions on Magnetic Resonance Imaging Continues to Improve: Artificial Intelligence Applications May Result in Higher Sensitivity and Specificity.

Accurate detection of cartilage lesions of the knee is required to offer patient-specific care and c...

The usefulness of assistive soft robotics in the rehabilitation of patients with hand impairment: A systematic review.

INTRODUCTION: Loss of hand function causes severe limitations in activity in daily living. The hand-...

Regenerative rehabilitation measures to restore tissue function after arsenic exposure.

Environmental exposure of arsenic impairs the cardiometabolic profile, skeletal muscle health, and n...

Increasing employment opportunity for persons with spinal cord injury by digital working: an exampling case series from Thailand.

INTRODUCTION: Due to activity limitations and physical environmental barriers, low remunerative empl...

The future of burn management: How can machine learning lead to a revolution in improving the rehabilitation of burn patients?

PMF-CNN: parallel multi-band fusion convolutional neural network for SSVEP-EEG decoding.

Steady-state visual evoked potential (SSVEP) is a key technique of electroencephalography (EEG)-base...

Global research evolution and frontier analysis of artificial intelligence in brain injury: A bibliometric analysis.

Research on artificial intelligence for brain injury is currently a prominent area of scientific res...

Cognitive ergonomics and robotic surgery.

Cognitive ergonomics refer to mental resources and is associated with memory, sensory motor response...

A machine learning algorithm-based predictive model for pressure injury risk in emergency patients: A prospective cohort study.

OBJECTIVES: To construct pressure injury risk prediction models for emergency patients based on diff...

Design and testing of ultrasound probe adapters for a robotic imaging platform.

Medical imaging-based triage is a critical tool for emergency medicine in both civilian and military...

Evaluating Natural Language Processing Packages for Predicting Hospital-Acquired Pressure Injuries From Clinical Notes.

Incidence of hospital-acquired pressure injury, a key indicator of nursing quality, is directly prop...

Design and preliminary validation of a high-fidelity vascular simulator for robot-assisted manipulation.

The number of robot-assisted minimally invasive surgeries is increasing annually, together with the ...