Latest AI and machine learning research in cardiovascular for healthcare professionals.
UNLABELLED: Accurate preoperative assessment of lymph node metastasis (LNM) and overall survival (OS...
UNLABELLED: Breast and ovarian cancers harboring homologous recombination deficiency (HRD) are sensi...
Homologous recombination is a high-fidelity DNA repair mechanism essential for maintaining genome st...
Breast reconstruction using tissue expanders is the primary treatment option following mastectomy. A...
OBJECTIVE: To evaluate the radiation and contrast dose reduction potential of combining 70 kV with d...
Coronary CT angiography (CCTA) has been widely used as a noninvasive modality for accurate assessmen...
Purpose To assess the agreement between routine-dose (RD) and lower-dose (LD) contrast-enhanced CT s...
Ovarian cancer remains the third most prevalent and deadliest gynecologic malignancy worldwide, with...
RATIONALE AND OBJECTIVES: CT angiography (CTA) is a commonly used clinical examination to detect abn...
PURPOSE: Current guidelines for thyroid radiation dose prescription lack uniformity and fail to cons...
PURPOSE: Noninvasive, accurate and novel approaches to predict patients who will achieve pathologica...
Artificial intelligence (AI) has gained significant attention in various scientific fields due to it...
BACKGROUND AND AIMS: Osteosarcoma (OS) is the most common primary bone malignancy, and neoadjuvant c...
Accurate lesion tracking in temporal mammograms is essential for monitoring breast cancer progress...
Domain shift is a critical problem for pathology AI as pathology data is heavily influenced by cen...
Complete removal of cancer tumors with a negative specimen margin during lumpectomy is essential i...
Cone-beam computed tomography (CBCT) is widely used in dentistry, surgery, radiotherapy and other me...
Inflammation is increasingly recognized as a critical factor in acute myeloid leukemia (AML) pathoge...
Epithelial ovarian cancer remains one of the deadliest gynecologic malignancies, with late-stage dia...
PURPOSE: This study aimed to develop a machine learning (ML) model to predict bloodstream infection ...
Dental diagnosis relies on two primary imaging modalities: panoramic radiographs (PX) providing 2D...