Latest AI and machine learning research in other cancers for healthcare professionals.
Breast-conserving surgery requires supportive radiotherapy to prevent cancer recurrence. However, th...
Clinical workflows in oncology depend on predictive and prognostic biomarkers. However, the growing ...
Sarcomatoid mesothelioma is an aggressive malignancy that can be challenging to distinguish from ben...
BACKGROUND: In recent years, the fibroblast growth factor receptor (FGFR) pathway has been proven to...
OBJECTIVE: This study evaluates the ability of several machine learning (ML) algorithms, developed u...
OBJECTIVES: To compare diagnostic performance of British Thyroid Association (BTA), American College...
OBJECTIVE: To investigate oncological, surgical and functional outcomes of transoral robotic surgery...
Breast tumor classification with multiple medical reports such as B-ultrasound, Mammography (X-ray) ...
Bladder cancer is one of the top 10 frequently occurring cancers and leads to most cancer deaths wor...
INTRODUCTION: Multiplex biomarker analysis of cytological body fluid specimens is often used to assi...
Deep learning has emerged as the technique of choice for identifying hidden patterns in cell imaging...
Preoperative assessment of the proximity of critical structures to the tumors is crucial in avoiding...
PURPOSE: Liver cancer is one of the most common types of cancers in Asia with a high mortality rate....
During the radiotherapy treatment of patients with lung cancer, the radiation delivered to healthy t...
Pediatric cancer is a rare disease with a distinct etiology and mutational landscape compared with a...
BACKGROUND: Non-small cell lung cancer (NSCLC) is the most common tumor entity spreading to the brai...
PURPOSE: Despite the widespread availability of in-treatment room cone beam computed tomography (CBC...
Genomic analysis and digitalization of medical records have led to a big data scenario within hemato...
BACKGROUND: Robot-assisted surgery is increasingly implemented for the resection of colorectal cance...
OBJECTIVES: We aimed to assess the performance of radiomics and machine learning (ML) for classifica...
OBJECTIVES: We aimed to build a survival system by combining a highly-accurate machine learning (ML)...