Latest AI and machine learning research in risk management for healthcare professionals.
There exist several methods aimed at human-robot physical interaction (HRpI) to provide physical therapy in patients. The use of haptics has become an option to display forces along a given path so as to it guides the physiotherapist protocol. Critical in this regard is the motion control for haptic guidance to convey the specifications of the clinical protocol. Given the inherent patient variabil...
BACKGROUND: Measurement of care quality and safety mainly relies on abstracted administrative data. However, it is well studied that administrative data-based adverse event (AE) detection methods are suboptimal due to lack of clinical information. Electronic medical records (EMR) have been widely implemented and contain detailed and comprehensive information regarding all aspects of patient care, ...
OBJECTIVE: To evaluate the diagnostic equivalency between an ultrafast (1Â min 53Â s) lumbar MRI protocol using deep learning-based reconstruction and a...
We describe a protocol to perform fast and non-arbitrary quality control of single-cell RNA sequencing (scRNA-seq) raw data using scKB and COPILOT. sc...
BACKGROUND: Each year, millions of Americans receive evidence-based psychotherapies (EBPs) like cognitive behavioral therapy (CBT) for the treatment o...
This article studies the vision-based tracking control problem for a nonholonomic multirobot formation system with uncertain dynamic models and visibi...
MRI is a non-invasive medical imaging modality that is sensitive to patient motion, which constitutes a major limitation in most clinical applications...
INTRODUCTION: Even though the injection of diluted vasopressin into the uterus is expected to reduce intraoperative bleeding with decreased adverse ef...
With the advent of machine learning (ML) and deep learning (DL) empowered applications for critical applications like healthcare, the questions about ...
The fight against the COVID-19 pandemic, which has affected the whole world in recent years and has had devastating effects on all segments of society...
In this article, the upgrading process of the structure-based virtual screening (SBVS) protocol targeting acetylcholinesterase (AChE) previously publi...
With the rise of self-driving technology research, the establishment of a scientific and perfect legal restraint and supervision system for self-drivi...
Automated protocoling for MRI examinations is an amendable target for workflow automation with artificial intelligence. However, there are still chall...
By the method of documentation and logical analysis, based on the data, based on logic and based on the knowledge of three kinds of artificial intelli...
Purpose This study aimed to develop an artificial intelligence (AI) model to support the determination of an appropriate implant drilling protocol usi...
BACKGROUND: Upper limb motor dysfunction is a common sequela of stroke, and its clinical efficacy needs to be improved. This protocol describes a tria...
Deep learning has an increasingly far-reaching impact on classroom teaching and is an important trend driving the application of educational technolog...
The objectives are to solve the problems existing in the current ideological and political theory courses, such as the difficulty of classroom teachin...
Most proteins in cells are composed of multiple folding units (or domains) to perform complex functions in a cooperative manner. Relative to the rapid...
OBJECTIVE: To determine the rigor, generalizability, and reproducibility of published classification and detection artificial intelligence (AI) models...