Latest AI and machine learning research in breast cancer for healthcare professionals.
PURPOSE: This study investigated the effect of multiple magnetic resonance (MR) sequences on the qua...
. Although radiotherapy techniques are a primary treatment for head and neck cancer (HNC), they are ...
Breast Cancer is the most commonly diagnosed cancer worldwide. While screening mammography diminishe...
Employing two standard mammography views is crucial for radiologists, providing comprehensive insigh...
PURPOSE: To investigate the feasibility of characterizing tumor heterogeneity in breast cancer ultra...
Medical image segmentation has seen great progress in recent years, largely due to the development o...
Human epidermal growth factor receptor 2 (HER2) is an important biomarker for prognosis and predicti...
With bio-medical wearables becoming an essential part of Internet of Medical things (IoMT) for monit...
BACKGROUND: Breast cancer screening via mammography plays a crucial role in early detection, signifi...
Humans encounter both natural and artificial radiation sources, including cosmic rays, primordial ra...
Stomach adenocarcinoma (STAD) is a common malignancy with high heterogeneity and a lack of highly pr...
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...
PURPOSE: This study evaluates the feasibility of using robotic-assisted bronchoscopy with cone beam ...
PURPOSE: Investigators and funding organizations desire knowledge on topics and trends in publicly f...
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...