Latest AI and machine learning research in other cancers for healthcare professionals.
Patients with hematological malignancy experience physical and psychological pain, such as a sense o...
BACKGROUND AND OBJECTIVES: Proteinuria is a common complication after the application of bevacizumab...
Although 20 % of patients with depression receiving treatment do not achieve remission, predicting t...
BACKGROUND AND PURPOSE: Patients with stage III or IV of operative link for gastric intestinal metap...
The goal of this study was to evaluate the performance of a convolutional neural network (CNN) with ...
With the increasing prevalence of machine learning in critical fields like healthcare, ensuring the ...
To evaluate the recurrence rate and risk factors of recurrence after robot-assisted laparoscopic par...
Circulating hybrid cells (CHCs) are a newly discovered, tumor-derived cell population found in the p...
The influence of Medicaid or being uninsured is prevailingly thought to negatively impact a patient'...
This review discusses the profound impact of artificial intelligence (AI) on breast cancer (BC) diag...
BACKGROUND: Immunotherapy has significantly improved survival of esophageal squamous cell cancer (ES...
Breast cancer remains the most prevalent cancer in women. To date, its underlying molecular mechanis...
Intratumor heterogeneity (ITH) is defined as differences in molecular and phenotypic profiles betwee...
OBJECTIVE: Immunotherapy has dramatically altered the therapeutic landscape for oncology, but more r...
PURPOSE: For patients with advanced cancer, early consultations with palliative care (PC) specialist...
BACKGROUND: The inflamed immune phenotype (IIP), defined by enrichment of tumor-infiltrating lymphoc...
BACKGROUND: This study was conducted to address the existing drawbacks of inconvenience and high cos...
AIM: To explore the potential of utilising radiomics analysis and machine-learning models that incor...
AIM: To establish a machine-learning model based on dynamic contrast-enhanced (DCE) magnetic resonan...
The aim of this study was to investigate the feasibility of deep learning (DL) based on multiparamet...
As precision oncology has become a major part of the treatment landscape in oncology, liquid biopsie...