Latest AI and machine learning research in work force for healthcare professionals.
Robotic rehabilitation can offer effective solutions, facilitating physiotherapist work, and helping patients regain their strength. Visualizing results of rehabilitative training could give a better insight into the factors that contribute to progress and measure the exact progress by every session. This paper aims to present a set of prototype dashboards to analyze and visualize data from roboti...
Semi-supervised learning has always been a hot topic in machine learning. It uses a large number of unlabeled data to improve the performance of the model. This paper combines the co-training strategy and random forest to propose a novel semi-supervised regression algorithm: semi-supervised random forest regression model based on co-training and grouping with information entropy (E-CoGRF), and app...
The real physical image of the affected limb, which is difficult to move in the traditional mirror training, can be realized easily by the rehabilitat...
In the field of artificial intelligence, a combination of scale in data and model capacity enabled by unsupervised learning has led to major advances ...
Subclasses of lymphocytes carry different functional roles to work together and produce an immune response and lasting immunity. Additionally to these...
The application of artificial intelligence in the field of primary health care can effectively improve diagnosis and treatment,avoid over-examination ...
Functional connectivity (FC) matrices measure the regional interactions in the brain and have been widely used in neurological brain disease classific...
Enhancer-promoter interactions (EPIs) in the human genome are of great significance to transcriptional regulation, which tightly controls gene express...
BACKGROUND: Prior to the COVID-19 global health emergency, reducing direct contacts between therapists and patients is an important issue, and could b...
In order to overcome the shortage of the current costly DVT diagnosis and reduce the waste of valuable healthcare resources, we proposed a new diagnos...
BACKGROUND: In the field of breast screening using mammography, announcing to the examinees whether they are dense or not has not been deprecated in J...
In the 21 century, while some people seek to use artificial intelligence for health services delivery, others have to surrender their health rights to...
Digital technologies are transforming the health sector all over the world, however various aspects of this emerging field of science is yet to be pro...
OBJECTIVE: In an effort to improve the efficiency of computer algorithms applied to screening for coronavirus disease 2019 (COVID-19) testing, we used...
Retinopathy of prematurity (ROP) is the leading cause of childhood blindness in very-low-birthweight and very preterm infants in the United States. Wi...
Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis. Automated detection of lung...
Blood supply managers in the blood supply chain have always sought to create enough reserves to increase access to different blood products and reduce...
BACKGROUND AND PURPOSE: Gait asymmetries are common after stroke, and often persist despite conventional rehabilitation. Robots provide training at a ...
The 2019 Novel Coronavirus disease (COVID-19) broke out in Wuhan, China in December 2019 and spread throughout the world. Early screening and early di...
Multi-session robot-assisted stroke rehabilitation program requires patients to perform repetitive tasks. It is challenging for the patient to maintai...