Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND CONTEXT: Accurately predicting the survival of patients with spinal metastases is importa...
PURPOSE: Accurate clinical diagnosis of lymph node metastases is of paramount importance in the trea...
Image processing plays a major role in neurologists' clinical diagnosis in the medical field. Severa...
PURPOSE: Despite the potential usefulness, no automatic detector is available for brain metastases o...
Colorectal cancer is considered one of the leading causes of death that is linked with the Kirsten R...
The adoption of low-dose computed tomography (LDCT) as the standard of care for lung cancer screenin...
PURPOSE: Radiomics is a specific field of medical research that uses programmable recognition tools ...
OBJECTIVES: To investigate the value of full-field digital mammography-based deep learning (DL) in p...
This study aims to develop an artificial intelligence (AI)-based model to assist radiologists in pne...
Metastasis is the leading cause of mortalities in cancer patients due to the spreading of cancer cel...
BACKGROUND: High quality serious illness communication requires good understanding of patients' valu...
BACKGROUND: Traditional diagnosis methods for lymph node metastases are labor-intensive and time-con...
Cancer mortality is mostly related to metastasis. Metastasis is currently prognosed via histopatholo...
Sarcomas are malignant soft tissue and bone tumours affecting adults, adolescents and children. They...
Recurrence risk stratification of patients undergoing primary surgical resection for hepatocellular ...
Although genome-wide DNA methylomes have demonstrated their clinical value as reliable biomarkers fo...
Detecting malign cases from thyroid nodule examinations is crucial in healthcare particularly to imp...
Tumor segmentation in brain MRI images is a noted process that can make the tumor easier to diagnose...
OBJECTIVE: The aim of this study was to develop and validate machine learning-based radiomics model ...
BACKGROUND AND AIMS: EUS-guided needle-based confocal laser endomicroscopy (EUS-nCLE) can differenti...
OBJECTIVE: To investigate the application of machine learning-based ultrasound radiomics in preopera...