Latest AI and machine learning research in oncology/hematology for healthcare professionals.
OBJECTIVE: To assess the viability of using ultra-low radiation and contrast medium (CM) dosage in a...
RATIONALE AND OBJECTIVES: The early prediction of response to neoadjuvant chemotherapy (NAC) will ai...
Lung squamous cell carcinoma (LUSC), a subtype of non-small cell lung cancer, represents a significa...
With the increasing demand for precision medicine in cancer patients, radiogenomics emerges as a pro...
BACKGROUND: Due to its late stage of diagnosis lung cancer is the commonest cause of death from canc...
Brain tumor diagnosis is an important task in prognosing and treatment planning of the patients with...
BACKGROUND: Cognitive fusion MRI-guided targeted biopsy (cTB) has been widely used in the diagnosis ...
Breast cancer is one of the most common and deadly cancers in women. Triple-negative breast cancer (...
Anaplastic lymphoma kinase (ALK) plays a critical role in the development of various cancers. In thi...
OBJECTIVES: This study aimed to develop nomograms for predicting post-hepatectomy liver failure (PHL...
A cyclin-dependent kinase 4/6 (CDK4/6) inhibitor combined with endocrine therapy is the standard-of-...
Skin cancer is the most common type of cancer in the United States and is estimated to affect one in...
Anoikis-related genes (ANRGs) are crucial in the invasion and metastasis of breast cancer (BC). The...
Gliomas represent a highly aggressive class of tumors located in the brain. Despite the availability...
BACKGROUND: To develop an artificial intelligence (AI)-based model using Radiomics, deep learning (D...
Fluorouracil-based chemotherapy responses in colorectal cancer (CRC) patients vary widely, highlight...
Databases that link molecular data to clinical outcomes can inform precision cancer research into no...
INTRODUCTION: Head and neck cancers are the seventh most common globally, with lymph node metastasis...
The integration of artificial intelligence, particularly Large Language Models (LLMs), has the poten...
BACKGROUND: This study aims to explore the accuracy of Convolutional Neural Network (CNN) models in ...
Glioblastoma (GBM) is the most malignant brain cancer and one of the leading causes of cancer-relate...