Latest AI and machine learning research in other cancers for healthcare professionals.
Target volumes for radiotherapy are usually contoured manually, which can be time-consuming and pron...
STUDY DESIGN: This is a retrospective cohort study utilizing machine learning to predict postoperati...
Artificial intelligence (AI) can acquire characteristics that are not yet known to humans through ex...
BACKGROUND: The presence of lateral lymph node metastases (LNM) in paediatric patients with papillar...
BACKGROUND: Cancer stem cells (CSCs) are a subset of cells within tumors that possess the unique abi...
INTRODUCTION: Artificial intelligence image recognition has applications in clinical practice. The p...
BACKGROUND: Brain metastases (BMs) represents a severe neurological complication stemming from cance...
Radiotherapy aims to deliver a prescribed dose to the tumor while sparing neighboring organs at risk...
In cancer research, oncogenesis can be affected by modulating the deubiquitination pathway. Ubiquiti...
Multi-task learning (MTL) methods are widely applied in breast imaging for lesion area perception an...
The integration of multidisciplinary tumor boards (MTBs) is fundamental in delivering state-of-the-a...
Brain tumors, characterized by the uncontrolled growth of abnormal cells, pose a significant threat ...
Dedicated brain imaging for cancer patients is seldom recommended in the absence of symptoms. There ...
Early detection of patients with impending bone metastasis is crucial for prognosis improvement. Thi...
RATIONALE AND OBJECTIVES: To investigate and authenticate the effectiveness of various radiomics mod...
Inverted papilloma conversion to squamous cell carcinoma is not always easy to predict. AutoML requi...
PURPOSE: We sought to develop an artificial intelligence (AI)-based model to predict early recurrenc...
Artificial intelligence (AI) is revolutionizing society and healthcare, offering new possibilities f...
RATIONALE AND OBJECTIVES: This study aims to explore the feasibility of the deep learning radiomics ...
PURPOSE: Recurrence for high-grade gliomas is inevitable despite maximal safe resection and adjuvant...
BACKGROUND: Artificial intelligence-based models might improve patient selection for liver transplan...