Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: Oral squamous cell carcinoma (OSCC) is the most prevalent form of oral cancer. Very few ...
Cancers are a complex conglomerate of heterogeneous cell populations with varying genotypes and phen...
PURPOSE: Accurate prediction of postoperative remission is beneficial for effective patient-physicia...
AIM: To determine whether machine learning-based radiomic feature analysis of baseline integrated 2-...
PURPOSE: The main purpose of this study is to construct a system to track the tumor position during ...
BACKGROUND: The classification of Breast Imaging Reporting and Data System 4A (BI-RADS 4A) lesions i...
Tumor-infiltrating lymphocytes (TIL) have potential prognostic value in melanoma and have been consi...
A systematic review and meta-analysis of pain response after radiofrequency (RF) ablation over time ...
OBJECTIVE: Tumour pathology contains rich information, including tissue structure and cell morpholog...
BACKGROUND: Preoperative diagnoses of metastatic lymph nodes (LNs) by the most advanced deep learnin...
BACKGROUND: The abundance of molecular profiling of breast cancer tissues entailed active research o...
In breast cancer, undetected lymph node metastases can spread to distal parts of the body for which ...
The use of machine learning and other sophisticated models to aid in prediction and decision making ...
PURPOSE: Cyclin-dependent kinase 12 (CDK12) aberrations have been reported as a biomarker of respons...
BACKGROUND & AIMS: In accordance with guidelines, most patients with T1 colorectal cancers (CRC) und...
BACKGROUND: Completion axillary lymph node dissection is overtreatment for patients with sentinel ly...
For treatment individualisation of patients with locally advanced head and neck squamous cell carcin...
PURPOSE: Ewing sarcoma (ES) is one of the most common malignant bone tumors in children and adolesce...
Intensity harmonization techniques (IHT) are mandatory to homogenize multicentric MRIs before any qu...
Non-invasive assessment of the risk of lymph node metastasis (LNM) in patients with papillary thyroi...
BACKGROUND: The small number of samples and the curse of dimensionality hamper the better applicatio...