Latest AI and machine learning research in critical care for healthcare professionals.
BACKGROUND: To observe the effects of different positive end-expiratory pressure (PEEP) ventilation ...
Kinase plays a significant role in various disease signaling pathways. Due to the highly conserved s...
OBJECTIVES: To compare the artificial intelligence algorithms as powerful machine learning methods f...
In recent years, the machine learning research community has benefited tremendously from the availab...
The study aims to implement a convolutional neural network framework that uses the 18F-FDG PET modal...
With the advance of the Internet of things (IoT), localization is essential in varied services. In u...
Timely and accurate diagnosis of coronavirus disease 2019 (COVID-19) is crucial in curbing its sprea...
The present study investigates the effectiveness of a deep learning neural network for non-invasivel...
Accurate medical image segmentation of brain tumors is necessary for the diagnosing, monitoring, and...
Alzheimer's disease is a neurodegenerative condition that gradually impairs cognitive abilities. Rec...
Improving detection and follow-up of recommendations made in radiology reports is a critical unmet n...
Fighting against the pandemic diseases with unique characters requires new sophisticated approaches ...
Deep neural networks have achieved great success in almost every field of artificial intelligence. H...
In the field of surface electromyography (sEMG) gesture recognition, how to improve recognition accu...
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive, irreversible, and usually fatal lu...
Deep convolutional neural networks (DCNN) achieve very high accuracy in segmenting various anatomica...
INTRODUCTION: Long-term cognitive impairment is one of the most common complications of critical ill...
Identifying the binding between the target proteins and molecules is essential in drug discovery. Th...
Automatic detection of arrhythmia based on electrocardiogram (ECG) plays a critical role in early pr...
As the cost of diabetes treatment continues to grow, it is critical to accurately predict the medica...
This work presents an on-chip analog-to-information conversion technique that utilizes analog hyper-...