Latest AI and machine learning research in cardiovascular for healthcare professionals.
PURPOSE: Atypical teratoid/rhabdoid tumor (AT/RT) is a rare and highly malignant pediatric brain tum...
Positron Emission Tomography (PET) is a critical modality in medical imaging for detecting abnormali...
Breast cancer is a heterogeneous disease comprising distinct molecular subtypes that require accurat...
BACKGROUND: Oxaliplatin (OXA) is widely used in the treatment of gastrointestinal malignancies such ...
OBJECTIVE: To critically evaluate machine learning (ML) models developed for predicting radiation-in...
PURPOSE: Artificial intelligence (AI) is increasingly explored as a complement to radiologists in po...
The fundamental requirement for the initial recognition of a mammogram is the accurate segmentation ...
Automatic cell detection is a key task in digital pathology, where manual counting remains impractic...
AIM: High breast density increases breast cancer risk and decreases mammographic sensitivity, yet pr...
In patients with advanced high-grade serous ovarian carcinoma (HGSOC), the standard treatment typica...
PURPOSE: Accurate prediction of recurrence risk is crucial for personalizing therapy in human epider...
BACKGROUND AND PURPOSE: Radiation dermatitis (RD) and superficial soft tissue fibrosis are common to...
CONTEXT.—: Breast-conserving surgery (BCS) offers comparable overall survival rates to mastectomy. H...
Glioblastoma multiforme (GBM) is the most common and aggressive primary malignant brain tumor. Despi...
This study presents the wavelet-based physics-informed neural networks (PINNs) simulation to analyse...
Low-dose computed tomography (LDCT) and low-dose positron emission tomography (LDPET) enable shorter...
Contrast-enhanced computed tomography (CECT) of the abdomen and pelvis is widely used for diagnostic...
INTRODUCTION: Breast cancer remains the most prevalent malignancy among women worldwide, with its pr...
INTRODUCTION: The survival rate of patients with life-threatening diseases primarily depends on the ...
BACKGROUND: Breast cancer transcriptional programs span malignant epithelial cells, and the tumor mi...
The binary pathological complete response (pCR) status of triple-negative breast cancer (TNBC) patie...