Latest AI and machine learning research in intensivists for healthcare professionals.
In recent years, the machine learning research community has benefited tremendously from the availab...
The simultaneous modulation of joint torque and stiffness enables humans to perform large repertoire...
The study aims to implement a convolutional neural network framework that uses the 18F-FDG PET modal...
Timely and accurate diagnosis of coronavirus disease 2019 (COVID-19) is crucial in curbing its sprea...
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...
As urbanization increases across the globe, urban flooding is an ever-pressing concern. Urban fluvia...
The continuous deterioration of the environment due to extensive industrialization and urbanization ...
Identifying the binding between the target proteins and molecules is essential in drug discovery. Th...
This work presents an on-chip analog-to-information conversion technique that utilizes analog hyper-...
Sepsis is an inflammation caused by the body's systemic response to an infection. The infection coul...
BACKGROUND: Hepatic steatosis (HS) identified on CT may provide an integrated cardiometabolic and CO...
OBJECTIVE: While clinical Artificial Intelligence (cAI) mortality prediction models and relevant stu...
The basic identification and classification of sedimentary rocks into sandstone and mudstone are imp...
Quantitative predictions of the physical state of the Earth's subsurface are routinely based on nume...
Identification of novel non-invasive biomarkers is critical for the early diagnosis of lung adenocar...