Latest AI and machine learning research in intensivists for healthcare professionals.
Skin cancer is frequently occurring and has become a major contributor to both cancer incidence and ...
Skin diseases, a significant category in the medical field, have always been challenging to diagnose...
BackgroundSepsis complicates acute pancreatitis (AP), increasing mortality risk. Few studies have ex...
Due to the complexity and variability of application scenarios and the increasing demands for assemb...
OBJECTIVES: Developing and validating interpretable machine learning (ML) models for predicting whet...
Increasing evidences have indicated that circular RNAs play a crucial role in the onset and progress...
Rapid and accurate differential diagnosis of infections, sepsis, and septic shock is essential for p...
The purpose of this study was to develop a robust deep learning approach trained with a smallMRI dat...
The morphological characteristics of pulmonary nodule, also known as the attributes, are crucial for...
BACKGROUND: Sepsis remains a life-threatening condition in intensive care units (ICU) with high morb...
While multi-modal deep learning approaches trained using magnetic resonance imaging (MRI) and fluoro...
Real-world multi-agent decision-making systems often have to satisfy some constraints, such as harmf...
This paper introduces an innovative multi-view stereo matching network-the Multi-Step Depth Enhancem...
ELM (Extreme learning machine) has drawn great attention due its high training speed and outstanding...
Gene microarray technology provides an efficient way to diagnose cancer. However, microarray gene ex...
This study aims to explore the effect of implant apex design, osteotomy preparation, intraosseous de...
Multi-modality medical image fusion (MMIF) technology utilizes the complementarity of different moda...
Navigating multi-agent reinforcement learning (MARL) environments with sparse rewards is notoriously...
Recent advances in the design of convolutional neural networks have shown that performance can be en...
The variability in image modalities presents significant challenges in medical image classification,...
The detection and classification of arrhythmia play a vital role in the diagnosis and management of ...