Latest AI and machine learning research in cardiovascular for healthcare professionals.
Accurate assessment of Human Epidermal Growth Factor Receptor 2 (HER2) immunohistochemistry (IHC) ex...
This review highlights our group's systematic approach to integrating molecular docking, pharmacopho...
Minimally invasive spine surgery (MISS), supported by advancements in endoscopic systems, tubular re...
Left ventricular ejection fraction (LVEF) is a critical parameter in the evaluation of cardiac funct...
Accurate survival prediction in breast cancer is essential for patient risk stratification and perso...
OBJECTIVES: To develop and validate a machine learning model integrating ultrasound radiomics and cl...
OBJECTIVES: To assess the currently applied CT image acquisition protocols in lung cancer screening ...
Zero echo time magnetic resonance imaging is an ultrashort echo time technique that enables computed...
BACKGROUND: Liver cirrhosis(LC) represents the end stage of chronic liver disease, yet reliable mole...
Homologous recombination deficiency (HRD) plays a central role in the pathogenesis and therapeutic v...
INTRODUCTION: Peripherally inserted central catheters (PICCs) are increasingly used in France for pr...
Accurate elemental decomposition in dual-energy computed tomography (DECT) is crucial for precision ...
To assess how computed tomography (CT) image reconstruction techniques affect perceived diagnostic i...
ObjectiveThis study aims to develop a functional-based multi-omics model for early prediction of rad...
Accurate authentication of rice geographical origin is crucial for food safety and fraud prevention....
PURPOSE: We present MuTriM, a multimodal deep learning model integrating DCE-MRI and whole-slide pat...
OBJECTIVE: To develop and validate a CT-based radiomics model to predict immunotherapy response in u...
BACKGROUND: Genomic assays such as Oncotype DX have transformed adjuvant treatment selection for hor...
Radiation skin injury (RSI) is an unavoidable side effect of radiotherapy that delays the treatment ...
OBJECTIVES: To develop and validate a deep learning model for whole breast clinical target volume (C...
OBJECTIVE: Cervical cancer remains a significant global health burden, with the molecular determinan...