Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Against the backdrop of population aging and the rising burden of chronic diseases in China, emergen...
Automated segmental volumetry is effective for aortic dissection surveillance but lacks standardizat...
BACKGROUND: Medullary infarction is a severe subtype of ischemic stroke. Early neurological deterior...
BACKGROUND: Manual chart abstraction from electronic health records is a critical step in clinical o...
Accurate pose estimation underpins quantitative analysis of behavior, yet many deep learning-based t...
Gliomas are the most common primary malignant tumors of the central nervous system and show marked i...
BACKGROUND: High-quality echocardiography is essential for accurate and reproducible assessment of c...
Electro-medical waste (EMW) management presents critical challenges related to traceability, regulat...
OBJECTIVE: The complex pathophysiological mechanism of end-stage renal disease (ESRD) has not been f...
Purpose To develop and validate an end-to-end autonomous platform for the quantification and visuali...
Absolute rotation estimation is an important topic in 3D computer vision. Existing works in literatu...
The rapid expansion of urban air mobility operations demands adaptive airspace management approaches...
Vision-based crop disease diagnosis plays a pivotal role in smart agriculture, yet challenges such a...
Early and accurate detection of brain tumors is clinically valuable for improving prognosis and guid...
BACKGROUND: Epilepsy affects approximately 50 million people worldwide. While AI-driven seizure pred...
Early and reliable crack localization in jet turbine blades is important for structural health monit...
Extracting key information from vast amounts of documents and data plays a crucial role in knowledge...
IMPORTANCE: Clinical trials in cardiovascular medicine aim to deliver high-quality evidence with gre...
Accurate and adaptive time-frequency representation is essential for analyzing nonstationary signals...
BACKGROUND: Operator-dependent laboratory tasks-embryo selection, vitrification and warming, and int...
Edge AI holds great potential for extending the use of artificial neural networks to resource-constr...