Latest AI and machine learning research in cardiovascular for healthcare professionals.
The incidence of early-onset colorectal cancer (EOCRC; <50 years) is rising rapidly among population...
The increasing availability of electronic health records (EHRs) provides opportunities to apply mach...
Colon Cancer (CC) is among the most frequently diagnosed malignancies and a leading cause of cancer-...
Colorectal cancer (CRC) exhibits marked heterogeneity across age, ancestry, and treatment context, u...
Proteome-guided liquid biopsy tests hold immense promise for the future of early cancer detection. O...
BACKGROUND: Peritumoral characteristics demonstrate significant predictive value for neoadjuvant che...
OBJECTIVE: This study aims to predict the early efficacy of induction chemotherapy (ICT) in patients...
BACKGROUND: Accurately evaluating human epidermal growth factor receptor (HER2) expression status in...
MOTIVATION: Contextual integration of multiomic datasets from the same patient could improve the acc...
The important function of microbiota as therapeutic modulators and diagnostic biomarkers in cancer h...
OBJECTIVE: This study aimed to develop an effective model that identifies high-risk breast cancer (B...
BACKGROUND: Palliative spine radiation therapy is prone to treatment at the wrong anatomic level. We...
Breast cancer (BRCA) is one of the most common malignancies and a leading cause of cancer-related mo...
PURPOSE: To create a computer-aided prediction (CAP) system to predict Wilms tumor (WT) responsivene...
The chemotherapy benefit for high-grade chondrosarcoma remains controversial. Ensemble learning has...
RATIONALE AND OBJECTIVES: Neoadjuvant chemotherapy (NAC) is a promising therapeutic strategy for man...
Background: Radiation pneumonitis is a side effect of thoracic radiation therapy. Recently, machin...
Vehicle detection and tracking in satellite video is essential in remote sensing (RS) applications...
Breast cancer detection based on pre-trained convolution neural network (CNN) has gained much inte...
This paper presents a Patherea, a framework for point-based cell detection and classification that...
This study introduces a federated learning-based approach to predict HER2 status from hematoxylin ...