Latest AI and machine learning research in other cancers for healthcare professionals.
Detecting brain tumors early on is critical for effective treatment and life-saving efforts. The ana...
The objective of this investigation was to improve the diagnosis of breast cancer by combining two s...
On October 8 2024, the Royal Swedish Academy of Sciences announced the 2024 Nobel Prize in Physics w...
INTRODUCTION: Endoscopic ultrasound (EUS) allows for characterization and biopsy of pancreatic lesio...
BACKGROUND: Current prognostic models have limited predictive abilities for the growing number of lo...
Breast cancer is the most common cancer in women. Breast masses are one of the distinctive signs for...
BACKGROUND: Contrast-enhanced ultrasound (CEUS) is frequently used to distinguish benign parotid tum...
Most patients with non-small cell lung cancer (NSCLC) are diagnosed at an advanced stage of the dise...
Breast cancer is the most prevalent cancer among women globally, making early and accurate detection...
OBJECTIVE: Glioblastoma (GBM), one of the most common brain tumors, is known for its low survival ra...
Detecting circulating tumor cells (CTCs) from blood has become a promising approach for cancer diagn...
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...
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...
Endometrial cancer has the second highest incidence of malignant tumors in the female reproductive s...
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...