Latest AI and machine learning research in prevention of medical errors for healthcare professionals.
Despite recent progress in prediction and prevention, heart disease remains a leading cause of death. One preliminary step in heart disease prediction and prevention is risk factor identification. Many studies have been proposed to identify risk factors associated with heart disease; however, none have attempted to identify all risk factors. In 2014, the National Center of Informatics for Integrat...
Coronary artery disease (CAD) often leads to myocardial infarction, which may be fatal. Risk factors can be used to predict CAD, which may subsequently lead to prevention or early intervention. Patient data such as co-morbidities, medication history, social history and family history are required to determine the risk factors for a disease. However, risk factor data are usually embedded in unstruc...
Fondaparinux sodium is a synthetic low-molecular-weight heparin (LMWH). This medication is an anticoagulant or a blood thinner, prescribed for the tre...
In India, the oral cancers are usually presented in advanced stage of malignancy. It is critical to ascertain the diagnosis in order to initiate most ...
BACKGROUND: Major incidents are complex, dynamic and bewildering task environments characterised by simultaneous, rapidly changing events, uncertainty...
Fall prevention is one of the most important functions of walking assistance devices for user's safety. It is preferable that these devices prevent th...
This study explores children with complex communication needs, their peers and adult support persons in play with the talking and moving robot LekBot....
In this contribution, we present a communication paradigm among nanodevices, based on acoustic vibrations for medical applications. We consider a swar...
Phase consistent neuronal oscillations are ubiquitous in electrophysiological recordings, and they may reflect networks of phase-coupled neuronal popu...
Robot-assisted surgery, as a development of laparoscopic surgery, has an increasing field of application. Beside urology, this technique has also been...
P300 spellers can provide a means of communication for individuals with severe neuromuscular limitations. However, its use as an effective communicati...
Ocular complications reported after robotic-assisted laparoscopic radical prostatectomy (RALP) include corneal abrasion and ischemic optic neuropathy....
BACKGROUND: A precondition for the success of the prevention of SSI is the complete realisation of the proven anti-infective measures in form of the m...
Background: Current understanding of acute kidney injury (AKI) risk factors remains largely descriptive, offering limited precision into how specific ...
Cardiovascular sensing systems must preserve clinically useful information despite signal degradation, wireless losses, energy constraints, and edge-c...
For cooperative perception in the internet of vehicles, this paper proposes a generative adversarial network-based semantic communication framework to...
Language discordance can impede community-based research and health communication where trained interpreters are limited. Although multimodal artifici...
Federated analysis offers a scalable approach to multi-site neuroimaging research by enabling distributed statistical modeling, machine learning, deco...
Background Large language models are increasingly proposed to post-edit decoded text in communication brain-computer interfaces and augmentative commu...