Latest AI and machine learning research in health policy for healthcare professionals.
Arrhythmia detection algorithms based on deep learning are attracting considerable interest due to t...
Every country is developing under the concept of artificial intelligence. Many countries are already...
INTRODUCTION AND OBJECTIVES: Although automatic artificial intelligence (AI) coronary angiography (C...
The COVID-19 pandemic has brought unprecedented extreme pressure on the medical system due to the ph...
The monitoring and evaluating the physical and physiological quality of seeds throughout storage req...
Training on multiple diverse data sources is critical to ensure unbiased and generalizable AI. In he...
Industry 4.0 and digital transformation will likely come with an era of changes for most manufacture...
OBJECTIVE: Mammography is the initial examination to detect breast cancer symptoms, and quality cont...
OBJECTIVE: Legislation in 38 states requires patient notification of dense mammographic breast tissu...
(1) Backgroud: For future national digital healthcare policy development, it is vital to collect bas...
Robotic systems for head and neck surgery are at different stages of technical development and clini...
Whitelisting is a widely used method in the security field. However, due to the rapid development of...
In the process of human communication, language learning and communication play a fundamental, leadi...
OBJECTIVES: To explore the impact of deep learning reconstruction (DLR) on image quality and machine...
Large neural networks usually perform well for executing machine learning tasks. However, models tha...
PURPOSE: This study aims to examine quality of life (QoL) before and after radical cystectomy (RC) a...
In this paper, we propose an activity detection system using a 24 × 32 resolution infrared array sen...
Guided waves are a potent tool in structural health monitoring, with promising machine learning algo...
The computation efficiency and flexibility of the accelerator hinder deep neural network (DNN) imple...
The inherent flexibility of machine learning-based clinical predictive models to learn from episodes...
The physical random access channel (PRACH) is used in the uplink of cellular systems for initial acc...