Latest AI and machine learning research in risk management for healthcare professionals.
PURPOSE: The Checklist for Artificial Intelligence in Medical Imaging (CLAIM) is a recently released...
Several methods for the measurement of tactile acuity have been devised previously, but unexpected n...
Stress is an increasingly prevalent mental health condition across the world. In Europe, for example...
The SPIRIT 2013 statement aims to improve the completeness of clinical trial protocol reporting by p...
Here, we present a step-by-step protocol for the implementation of deep-learning-enhanced light-fiel...
Some encouraging uses for AI in medicine will lead to potentially novel legal liability issues. Comp...
Background MRI is a powerful diagnostic tool with a long acquisition time. Recently, deep learning (...
Although the accuracy of other types of robotic systems for total knee arthroplasty (TKA) has been a...
The present protocol describes the creation of four-dimensional (4D), time-dependent, shape-changeab...
BACKGROUND AND PURPOSE: Three-dimensional (3D) imaging of the spine, augmented with AI-enabled image...
AIMS: The aims of the present study were to, for both a full-dose protocol and an ultra-low dose (UL...
Robot-assisted partial nephrectomy (RAPN) has traditionally been performed as an inpatient procedur...
This topical review is focused on the clinical breast x-ray imaging applications of the rapidly evol...
Investigating network behavior from host-pathogen interactions is challenging. Here, we present the ...
Robotic assistance can help in physically guiding the drilling trajectory during zygomatic implant p...
Chest radiography (CXR), the most frequently performed imaging examination, is vulnerable to interpr...
BACKGROUND: Social robots have demonstrated promising outcomes in terms of increasing the social hea...
We recently developed a robotic human vaping mimetic real-time particle analyzer (HUMITIPAA) to eval...
Recently, there has been an increase in research interest in the seamless streaming of video on top ...
Here we present EdgeSHAPer, a workflow for explaining graph neural networks by approximating Shapley...
Gold standard behavioral weight loss (BWL) is limited by the availability of expert clinicians and h...