Latest AI and machine learning research in sports medicine for healthcare professionals.
Endovascular robots have the potential to revolutionize the field of vascular interventions by enhancing procedural efficiency, accuracy, and standardization. They aim to reduce radiation exposure, as well as physical strain on operators and medical staff, while enabling precise navigation of catheters through challenging anatomical structures. However, the widespread adoption of these robots face...
Prehabilitation programs play a key role in optimizing patient experiences and outcomes after surgery. However, there are few data on robot-assisted radical prostatectomy, and prehabilitation programs may be challenging to launch and maintain over time for every patient. Here we report our 5-yr experience of an on-site prehabilitation program and its impact on patient and hospital outcomes. During...
Traumatic brain injury is one of the leading causes of death and disability in young adults. Previous studies have suggested that neuroinflammatory pr...
This article focuses on the development of algorithms for a smart neurorehabilitation system, whose core is made up of artificial neural networks. The...
The treatment of patients with balance disorders is an urgent problem to be solved by the medical community. The causes of balance disorders are diver...
PURPOSE: The study aims to assess the efficacy of robot-assisted rehabilitation training on upper and lower limb motor function and fatigue in Parkins...
BACKGROUND: Acute kidney injury (AKI) is a primary feature of renal complications in patients with sepsis. MicroRNA (miRNA/miR)-30a is an essential re...
Rehabilitation therapy plays an essential role in assisting people with stroke regain arm function. Upper extremity robot therapy offers a number of a...
Neuroprognostication following acute brain injury (ABI) is a complex process that involves integrating vast amounts of information to predict a patien...
The aim of this study was to compare the effectiveness of traditional neurological rehabilitation and neurological rehabilitation combined with a reha...
This study focuses on ischaemia-reperfusion injury (IRI) in kidneys, a cause of acute kidney injury (AKI) and end-stage kidney disease (ESKD). Traditi...
PURPOSE: Not diagnosed or mistreated scapholunate ligament (SL) tears represent a frequent cause of degenerative wrist arthritis. A newly developed de...
In the domain of physical rehabilitation, the progress in machine learning and the availability of cost-effective motion capture technologies have pav...
This paper proposes an ankle rehabilitation robot to assist hemiplegic patients with movement training. The robot consists of two symmetric mechanisms...
This step-by-step article demonstrates our approach to robot-assisted laparoscopic revision of a bladder neck sited artificial urinary sphincter (AUS)...
Conductive hydrogels have attracted considerable interest for potential applications in soft robotics, electronic skin and human monitoring. However, ...
BACKGROUND: Robot-assisted gait training is incorporated into guidelines for stroke rehabilitation. It is a promising tool combined with conventional ...
One of the most interesting characteristics of collaborative robots is their ability to be used in close cooperation scenarios. In industry, this faci...
For each road crash event, it is necessary to predict its injury severity. However, predicting crash injury severity with the imbalanced data frequent...
The large amount of training samples required to develop a deep learning brain injury model demands enormous computational resources. Here, we study h...