Latest AI and machine learning research in critical care for healthcare professionals.
Pathological primary tumor (pT) stage focuses on the infiltration degree of the primary tumor to sur...
Image dehazing models are critical in improving the recognition and classification capabilities of i...
Multi-class cell segmentation in high-resolution Giga-pixel whole slide images (WSI) is critical for...
Estimates of post-mortem interval (PMI), which often serve as pivotal evidence in forensic contexts,...
A large share of traffic accidents is related to driver fatigue. In recent years, many studies have ...
Auscultation is crucial for the diagnosis of respiratory system diseases. However, traditional steth...
PROBLEM: Artificial intelligence has been widely investigated for diagnosis and treatment strategy d...
This work presents the Multi-Bees-Tracker (MBT3D) algorithm, a Python framework implementing a deep ...
BACKGROUND: One of the most common sleep disorders is sleep apnea syndrome. To diagnose sleep apnea ...
The use of needles to access sites within organs is fundamental to many interventional medical proce...
Understanding gene expression processes necessitates the accurate classification and identification ...
Respiratory pattern is one of the most crucial indicators for accessing human health, but there has ...
Model fairness (a.k.a., bias) has become one of the most critical problems in a wide range of AI app...
PURPOSE: Patients with robot-assisted laparoscopic radical prostatectomy (RALP) need to be placed in...
Deep Learning (DL) models have received increasing attention in the clinical setting, particularly i...
Timely and accurate interpretation of chest radiographs obtained to evaluate endotracheal tube (ETT...
Graph convolutional network has been extensively employed in semi-supervised classification tasks. A...
In the context of collaborative robotics, handing over hand-held objects to a robot is a safety-crit...
The COVID-19 pandemic erupted at the beginning of 2020 and proved fatal, causing many casualties wor...
In this paper, we investigate the problem of causal image classification with multi-label learning. ...
Sewerage and stormwater networks are subjected to several deterioration factors, including aging, en...