Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: A growing body of research is using deep learning to explore the relationship between tr...
Gliomas are the most common and malignant form of primary brain tumors. Accurate segmentation and me...
Although recent advancements have shed light on the crucial role of coordinated evolution among cell...
Hepatocellular carcinoma (HCC) is one of the most common malignancies. The currently available clini...
BACKGROUND: Deep learning has been used to classify basal cell carcinoma (BCC) on histopathologic im...
BACKGROUND: Ex vivo confocal laser scanning microscopy (EVCM) is an emerging imaging modality that e...
OBJECTIVE: Early and accurate prediction of axillary lymph node metastasis (ALNM) is crucial in dete...
Mature B-cell neoplasms (MBNs) are clonal proliferative diseases encompassing over 40 subtypes. The ...
Radiopharmaceutical cocktails have been developed over the years to treat cancer. Cocktails of agent...
Early detection of colorectal carcinoma (CRC), one of the most prevalent forms of cancer worldwide, ...
In modern medical imaging-assisted therapies, manual annotation is commonly employed for liver and t...
INTRODUCTION: Early detection of oral squamous cell carcinoma (OSCC) is critical for improving clini...
OBJECTIVES: To assess the current state-of-the-art in deep learning methods applied to pre-operative...
BACKGROUND: Existing models do poorly when it comes to quantifying the risk of lymph node metastases...
INTRODUCTION: Colorectal cancer (CRC) staging is essential for effective treatment planning and prog...
BACKGROUND: The histological assessment of colorectal precancer and cancer lesions is challenging an...
Gefitinib resistance (GR) presents a significant challenge in treating lung adenocarcinoma (LUAD), h...
BACKGROUND: Alcohol drinking and gut microbiota are related to hepatocellular carcinoma (HCC), but t...
BACKGROUND: Breast cancer (BC) is caused by the uncontrolled proliferation of breast epithelial cell...
PURPOSE: This study aimed to develop and validate a model for accurately assessing the risk of dista...
RATIONALE AND OBJECTIVES: To develop and validate multiple machine learning predictive models incorp...