Latest AI and machine learning research in oncology/hematology for healthcare professionals.
INTRODUCTION: Image preprocessing is crucial for optimizing radiomics feature extraction, however, i...
OBJECTIVE: To investigate the potential of a hybrid multi-instance learning model (TGMIL) combining ...
BACKGROUND: Clear cell renal cell carcinoma (ccRCC) is one of the most common malignant tumors of th...
PURPOSE: This study aims to provide a national-level insight into the optimal management of spinal c...
Contemporary surgical pathology workflows often prioritize slide examination based on case registry ...
Deep-learning models for prostate cancer detection typically require large datasets, limiting clinic...
IMPORTANCE: Although tumor-infiltrating lymphocytes (TILs) have been implicated as prognostic biomar...
Monoclonal Antibodies and Breast Cancer Research (MABCR) has progressed substantially, particularly ...
Purpose To develop and evaluate an open-source deep learning model for detection and localization o...
() is an oral commensal bacterium that can become pathogenic and is associated with periodontitis, ...
UNLABELLED: Growing research evidence indicates a substantial influence of the intra-tumor microbiom...
BACKGROUND: The leiomyosarocma (LMS) is the most common soft tissue sarcoma, and its molecular subty...
UNLABELLED: Spinal tumors represent 15% of all central nervous system malignancies, with intramedull...
Precise forecasting of cancer outcomes is essential for medical professionals to assess the well-bei...
This mini-review discusses important factors in opioid use in gynecologic oncology in the perioperat...
INTRODUCTION: Adenocarcinoma (AD) and squamous cell carcinoma (SCC) are frequently observed forms of...
Metastatic tumors of the head and neck (MTHN) typically indicate advanced disease with a poor progno...
Early detection through screening is critical for reducing gastric cancer (GC) mortality. However, i...
PURPOSE: This study aimed to develop a deep learning (DL) model based on three-dimensional multi-par...
BACKGROUND: Radiomics analyzes quantitative features from medical images to reveal tumor heterogenei...
Laser interstitial thermal therapy (LiTT) has emerged as a minimally invasive, MRI-guided treatment ...