Latest AI and machine learning research in breast cancer for healthcare professionals.
Humans encounter both natural and artificial radiation sources, including cosmic rays, primordial ra...
PURPOSE: Build machine learning (ML) models able to predict pathological complete response (pCR) aft...
BACKGROUND: Early-stage breast cancer has the complex challenge of carrying a favorable prognosis wi...
Esophageal squamous cell carcinoma (ESCC), a predominant subtype of esophageal cancer, typically pre...
An efficient novel approach is introduced to predict the effectiveness of chemotherapy treatment in ...
RATIONALE AND OBJECTIVES: The expression of human epidermal growth factor receptor 2 (HER2) in gastr...
Thoracic Cone-beam computed tomography (CBCT) is routinely collected during image-guided radiation t...
Photoacoustic tomography (PAT) has emerged as a promising imaging modality for breast cancer detecti...
To integrate machine learning and multiomic data on lactylation-related genes (LRGs) for molecular t...
Positron emission tomography (PET) imaging plays a pivotal role in oncology for the early detection ...
BACKGROUND: The electronic compensation (ECOMP) technique for breast radiation therapy provides exce...
Neoadjuvant chemotherapy (NAC) is a systemic and systematic chemotherapy regimen for breast cancer p...
This white paper examines the potential of pioneering technologies and artificial intelligence-drive...
BACKGROUND: Hematologic changes after splenectomy and hyperthermic intraperitoneal chemotherapy (HIP...
Hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2-) breast can...
. This study presents machine learning (ML) models that predict if deep inspiration breath hold (DIB...
RATIONALE AND OBJECTIVES: To develop a machine learning (ML) model based on clinicopathological and ...
Doxorubicin (DOXO) is a primary treatment for breast cancer but can cause cardiotoxicity in over 25%...
PURPOSE: Human epidermal growth factor receptor 2 (HER2)-targeted therapies have shown promise in tr...
: With the rapid development of the accumulation of large-scale multiomics data sets, integrating va...
RATIONALE AND OBJECTIVES: Photon Counting CT (PCCT) offers advanced imaging capabilities with potent...