Latest AI and machine learning research in cardiovascular for healthcare professionals.
BACKGROUND: Brain metastases (BM) are the most common intracranial tumors in adults, and stereotacti...
PURPOSE: To evaluate the dosimetric benefit of deep inspiration breath-hold (DIBH) using the Active ...
BACKGROUND: Cervical cancer (CC) ranks among the most prevalent malignant neoplasms affecting women ...
Exosomes play a key role in cancer, functioning both as drivers of drug resistance and as tools for ...
INTRODUCTION: Pathological complete response (pCR) is a key prognostic indicator in breast cancer (B...
Ki-67 is a well-established marker of tumour proliferation and an important prognostic and predictiv...
Tumor recurrence represents a significant challenge in the field of tumor therapy, severely affectin...
OBJECTIVES: This study aimed to develop and validate a clinically motivated artificial intelligence ...
Triple-negative breast cancer (TNBC), being one of the most aggressive subtypes of breast malignanci...
BACKGROUND: Radiation-induced erectile dysfunction (RIED) remains one of the most prevalent and dist...
RATIONALE AND OBJECTIVES: Although accurate preoperative prediction of sentinel lymph node (SLN) sta...
PURPOSE OF REVIEW: Advanced gynecologic cancers are treated broadly, with variable outcomes, even wh...
A mechanistic understanding of how genetic variants alter drug-receptor binding is central to precis...
The therapeutic landscape of colorectal cancer (CRC) has evolved with the identification of molecula...
BACKGROUND: Clavien-Dindo (CD) grade ≥II complications occur in roughly one in five patients after c...
Advanced pancreatic ductal adenocarcinoma (PDAC) often progresses rapidly during chemotherapy despit...
BACKGROUND: Accurate delineation of target volumes and organs at risk (OAR) is essential in radiothe...
BACKGROUND: Positron emission tomography with magnetic resonance imaging (PET/MRI) provides noninvas...
Gastric cancer (GC) shows strong biological heterogeneity and frequent disruption of inflammatory an...
BACKGROUND: Diagnosing breast cancer with mammography continues to be an incidentally challenging pr...
OBJECTIVE: Develop a multimodal fusion model combining MRI radiomics and deep learning (DL) to predi...