Latest AI and machine learning research in other cancers for healthcare professionals.
Glioblastoma (GBM) is the most common and deadly malignant brain tumor. For personalized treatment, ...
PURPOSE: Prostate cancer (PCa) is a major health concern in aging males, and proper management of th...
BACKGROUND: Despite their high accuracy to recognize oral potentially malignant disorders (OPMDs) wi...
Hepatocellular carcinoma (HCC) is the most common form of primary adult liver cancer. After nearly a...
OBJECTIVES: We aimed to establish and validate an artificial intelligence-based radiomics strategy f...
Early identification of metastatic or recurrent colorectal cancer (CRC) patients who will be sensiti...
PURPOSE: To train deep learning models to differentiate benign and malignant breast tumors in ultras...
An accurate grade prediction can help to appropriate treatment strategy and effective diagnosis to H...
Nowadays, Dynamic Contrast Enhanced-Magnetic Resonance Imaging (DCE-MRI) has demonstrated to be a va...
OBJECTIVE: To report the clinical and radiographic outcomes of single-stage posterior total en bloc ...
OBJECTIVE: Medullary thyroid carcinoma, a rare form of thyroid cancer, is typically managed with sur...
The identification of sleep stages is essential in the diagnostics of sleep disorders, among which o...
Breast cancer is a high-incidence type of cancer for women. Early diagnosis plays a crucial role in ...
Cancer antigen 15-3 (CA15-3) is a common tumor marker and the serum level of this tumor marker is e...
Tumor budding is a promising and cost-effective biomarker with strong prognostic value in colorectal...
The availability of large-scale datasets and sophisticated machine learning tools enables developing...
Automatic identification of tissue structures in the analysis of digital tissue biopsies remains an ...
OBJECTIVES: To evaluate whether a computed tomography (CT) radiomics-based machine learning classifi...
PURPOSE: Extranodal extension (ENE) is a well-established poor prognosticator and an indication for ...
OBJECTIVE: Serious illness conversations are complex clinical narratives that remain poorly understo...
RATIONALE AND OBJECTIVES: To evaluate the noninvasive predictive performance of deep learning featur...