Latest AI and machine learning research in other cancers for healthcare professionals.
OBJECTIVE: To determine whether machine learning (ML) can predict the presence of extracapsular exte...
The present study aimed to identify the genes associated with the involvement of adjunct lymph nodes...
PURPOSE: Assessing the status of metastasis in sentinel lymph nodes (SLNs) by pathologists is an ess...
A metabolomic study for determination of certain urinary metabolomes, 1-methyladenosine (1-MA), 1-me...
Non-small-cell lung cancer (NSCLC) patients often develop bone metastases (BM), and the overall surv...
OBJECTIVE: To compare the CT texture feature reproducibility of 2D and 3D segmentations and their ma...
Acinar cell carcinoma (ACC) of the pancreas is a rare neoplasm with less aggressive behavior than du...
BACKGROUND: Recent studies have shown that deep learning can help tumor staging automatically. Howev...
The accurate prognostic prediction is essential for precise diagnosis and treatment of carcinoma. In...
Metastasis development represents an important threat for melanoma patients, even when diagnosed at ...
BACKGROUND Thyroid nodules are extremely common and typically diagnosed with ultrasound whether beni...
Providing prognostic information at the time of cancer diagnosis has important implications for trea...
OBJECTIVES: This study is aimed to assess the feasibility of AutoML technology for the identificatio...
OBJECTIVE: To assess the utility of deep learning analysis using F-fluorodeoxyglucose (FDG) uptake b...
The wealth of information captured by multiparameter flow cytometry (MFC) can be analyzed by recent ...
Machine learning (ML) modeling of the human microbiome has the potential to identify microbial bioma...
Lung cancer is one of the major causes of cancer-related deaths in many countries around the world, ...
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cell carcino...
INTRODUCTION: We previously developed a convolutional neural networks (CNN)-based algorithm to disti...
OBJECTIVE: To apply a deep learning object detection technique to CT images for detecting cervical l...
PURPOSE: Liver Imaging Reporting and Data System (LI-RADS) uses multiphasic contrast-enhanced imagin...