Latest AI and machine learning research in oncology/hematology for healthcare professionals.
Detecting circulating tumor cells (CTCs) from blood has become a promising approach for cancer diagn...
BACKGROUND: With the rising incidence of pulmonary nodules (PNs), lung adenocarcinoma in situ (AIS) ...
Environmental complaints serve as a crucial means for citizens to participate in environmental regul...
Artificial intelligence (AI) technology in pathology has been utilized in many areas and requires su...
INTRODUCTION: Lung cancer is a leading cause of cancer-related deaths, with its incidence continuing...
Abdominal aortic aneurysm (AAA) represents a permanent and localized widening of the abdominal aort...
Decisions about when to change antidepressant treatment are complex and benefit from accurate predic...
BACKGROUND AND OBJECTIVES: The potential impacts of artificial intelligence (AI) chatbots on care fo...
To date, the public health system has been impacted by the increasing costs of many diagnostic and t...
Brain metastases (BrM) occur when malignant cells spread from a primary tumor located in other parts...
RATIONALE AND OBJECTIVES: Accurate prediction of microvascular invasion (MVI) in hepatocellular carc...
Early detection is crucial for improving survival rates of pancreatic ductal adenocarcinoma (PDA), y...
Endometrial cancer has the second highest incidence of malignant tumors in the female reproductive s...
RATIONALE AND OBJECTIVES: Misregistration artifacts between the PET and attenuation correction CT (C...
BACKGROUND: Determining the status of breast cancer susceptibility genes () is crucial for guiding b...
AIMS: To develop a model capable of distinguishing carcinoma ex-pleomorphic adenoma from pleomorphic...
OBJECTIVES: Development of a prediction model using machine learning (ML) method for tumor progressi...
Multimodal cancer therapies are often required for progressive cancers due to the high persistence a...
PURPOSE: To evaluate the value of pre-treatment MRI-based radiomics in patients with hepatocellular ...
Salivary gland neoplasms (SGNs) represent a group of human neoplasms characterized by a remarkable c...
The purpose of this study is to investigate the impact of using morphological information in classif...