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Customizing Robot-Assisted Passive Neurorehabilitation Exercise Based on Teaching Training Mechanism.

BioMed research international
Passive movement is an important mean of rehabilitation for stroke survivors in the early stage or with greater paralysis. The upper extremity robot is required to assist therapists with passive movement during clinical rehabilitation, while customiz...

A Machine Learning Approach to the Interpretation of Cardiopulmonary Exercise Tests: Development and Validation.

Pulmonary medicine
OBJECTIVE: At present, there is no consensus on the best strategy for interpreting the cardiopulmonary exercise test's (CPET) results. This study is aimed at assessing the potential of using computer-aided algorithms to evaluate CPET data for identif...

Multi-Task Deep Learning Model for Classification of Dental Implant Brand and Treatment Stage Using Dental Panoramic Radiograph Images.

Biomolecules
It is necessary to accurately identify dental implant brands and the stage of treatment to ensure efficient care. Thus, the purpose of this study was to use multi-task deep learning to investigate a classifier that categorizes implant brands and trea...

Potential for optimizing the perioperative care in robotic prostatectomy patients by adoption of enhanced recovery after surgery principles.

Journal of robotic surgery
Several benefits have been reported after applying the principles of enhanced recovery after surgery (ERAS) into the perioperative care of patients undergoing robot-assisted radical prostatectomy (RARP). Nevertheless, there are still barriers. We aim...

An initial experience with a novel technique of single-port robotic resection for rectal cancer.

Techniques in coloproctology
BACKGROUND: The da Vinci single-port (SP) system is designed to facilitate single-incision robotic surgery in a narrow space. We developed a new procedure of rectal resection using this system. The aim of the present study was to evaluate the technic...

Improving Stroke Risk Prediction in the General Population: A Comparative Assessment of Common Clinical Rules, a New Multimorbid Index, and Machine-Learning-Based Algorithms.

Thrombosis and haemostasis
BACKGROUND: There are few large studies examining and predicting the diversified cardiovascular/noncardiovascular comorbidity relationships with stroke. We investigated stroke risks in a very large prospective cohort of patients with multimorbidity, ...

Prediction of Major Complications and Readmission After Lumbar Spinal Fusion: A Machine Learning-Driven Approach.

World neurosurgery
BACKGROUND: Given the significant cost and morbidity of patients undergoing lumbar fusion, accurate preoperative risk-stratification would be of great utility. We aim to develop a machine learning model for prediction of major complications and readm...

Gender-Based Deep Learning Firefly Optimization Method for Test Data Generation.

Computational intelligence and neuroscience
Software testing is a widespread validation means of software quality assurance in industry. Intelligent optimization algorithms have been proved to be an effective way of automatic test data generation. Firefly algorithm has received extensive atten...

Resection of Intracranial Tumors with a Robotic-Assisted Digital Microscope: A Preliminary Experience with Robotic Scope.

World neurosurgery
BACKGROUND: Magnified intraoperative visualization is of paramount importance during microsurgical procedures. Although the introduction of the operating microscope represented one of the most relevant innovations in modern neurosurgery, surgical vis...