Latest AI and machine learning research in cardiovascular for healthcare professionals.
Soft tissue metastasis in esophageal cancer is a very rare entity. A 76-year-old man was referred fo...
Solar radiation plays a critical role in the carbon sequestration processes of terrestrial ecosystem...
Colorectal cancer (CRC) is the most common malignancy in the digestive system, with a lower 5-year o...
Integrating artificial intelligence (AI) into radiation oncology has revolutionized clinical workflo...
RATIONALE AND OBJECTIVES: Immunotherapy combined with chemotherapy has improved outcomes for some es...
PURPOSE: Hepatocellular carcinoma (HCC) remains a global health concern, marked by increasing incide...
Computed tomography (CT) is a crucial medical imaging technique which uses x-ray radiation to identi...
PURPOSE: To develop models using different machine learning algorithms to predict high-risk symptom ...
Quality control of immunohistochemistry (IHC) slides is crucial to ascertain accurate patient manage...
PURPOSE: The aim of this work is to compare different machine learning models for predicting patholo...
Identifying interactions between candidate antibodies and target antigens is a key step in developin...
Diagnosing ureteral stones with low-dose CT in patients with metal hardware can be challenging beca...
Skin cancer can be prevalent in people of any age group who are exposed to ultraviolet (UV) radiatio...
Local recurrences (LR) can occur within residual breast tissue, chest wall, skin, or newly formed sc...
INTRODUCTION: For patients with breast cancer, the amplification of Human Epidermal Growth Factor 2 ...
Mammography is the recommended imaging modality for breast cancer screening. Expressions of human ep...
. 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...