Latest AI and machine learning research in risk management for healthcare professionals.
Even though the demand of head computed tomography (CT) in patients with mild traumatic brain injury...
ChatGPT has promising applications in health care, but potential ethical issues need to be addressed...
The present contribution introduces a novel computational protocol called PyRMD2Dock, which combines...
Artificial intelligence (AI) has been utilized in soft-tissue analysis and prediction in orthodontic...
Magnetic resonance imaging (MRI) of the brain has benefited from deep learning (DL) to alleviate the...
There are two major areas for patient engagement in radiology artificial intelligence (AI). One is i...
Here, we present a protocol for multivariate quantitative-image-based cytometry (QIBC) analysis by f...
PURPOSE: To evaluate the image quality and visibility of pancreatic ductal adenocarcinoma (PDAC) in ...
PURPOSES: To review the uses of AI for magnetic resonance (MR) imaging assessment of primary pediatr...
The lack of systems to automatically extract epidemiological fields from open-access COVID-19 cases ...
OBJECTIVE: The objective of this study is to prospectively compare quantitative and subjective image...
OBJECTIVE: Artificial Intelligence (AI) refers to the ability of machines to perform cognitive and i...
This paper investigates an observer-based state estimation issue for discrete-time semi-Markovian ju...
INTRODUCTION: Geriatric co-management is known to improve treatment of older adults in various clini...
Biological fingerprints extracted from clinical images can be used for patient identity verification...
BACKGROUND: This protocol describes the design of a multicenter randomized controlled trial of robot...
BACKGROUND: Interstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and non-sp...
With an aging population and increased chronic diseases, remote health monitoring has become critica...
The regulatory environment in the United States has not kept pace with the rapidly developing market...
Reconstructing connectivity of neuronal networks from single-cell activity is essential to understan...
BACKGROUND: The Reconstructive Allograft Preparation by Toronto Sarcoma (RAPTORS) protocol is reliab...