Latest AI and machine learning research in critical care for healthcare professionals.
A novel multi-channel-based 3D convolutional neural network (3D-CNN) is proposed in this paper to cl...
Medical images such as facial and tongue images have been widely used for intelligence-assisted diag...
With the development of biotechnology, a large amount of multi-omics data have been collected for pr...
Deep neural network (DNN) approaches have shown remarkable progress in automatic Chest X-rays classi...
In-flow phase-contrast tomography provides a 3D refractive index of label-free cells in cytometry sy...
Quadruped robots have frequently appeared in various situations, including wilderness rescue, planet...
We report the results of the "UM-TBM" and "Zheng" groups in CASP15 for protein monomer and complex s...
OBJECTIVES: Anti-thrombotic therapy is the basis of thrombosis prevention and treatment. Bleeding is...
Comprehensive semantic segmentation on renal pathological images is challenging due to the heterogen...
BACKGROUND: Viral acute respiratory illnesses (viral ARIs) contribute significantly to human morbidi...
Respiratory diseases are one of the leading causes of human death and exacerbate the global burden o...
PURPOSE: Prognostic prediction is crucial to guide individual treatment for locoregionally advanced ...
Flood risk assessment is a key step in flood management and mitigation, and flood risk maps provide ...
Deep learning (DL) shows notable success in biomedical studies. However, most DL algorithms work as ...
BACKGROUND AND OBJECTIVE: Cancer grading in pathology image analysis is a major task due to its impo...
Large-scale data obtained from aggregation of already collected multi-site neuroimaging datasets has...
As the use of construction robots continues to increase, ensuring safety and productivity while work...
We develop a nonparametric model to study health spillover effects of policy interventions. We use d...
Prediction of the stage of cancer plays an important role in planning the course of treatment and ha...
In the realm of multi-class classification, the twin K-class support vector classification (Twin-KSV...
Leukemia classification relies on a detailed cytomorphological examination of Bone Marrow (BM) smear...