Latest AI and machine learning research in other cancers for healthcare professionals.
BACKGROUND: Hepatocellular carcinoma (HCC) is a highly lethal malignancy with high recurrence and li...
BACKGROUND: Intrahepatic cholangiocarcinoma (ICC) is a highly aggressive subtype of primary liver ca...
BACKGROUND: The integration of clinical decision support tools in medical practice is challenging an...
BackgroundArtificial intelligence (AI) is increasingly integrated into hospice and palliative care t...
BACKGROUND: Lactate promotes histone lactylation, which affects protein transcription and translatio...
Artificial intelligence (AI) can transform cancer immunotherapy by enabling more accurate prediction...
Artificial Intelligence (AI) is reshaping oncology by addressing key limitations in traditional canc...
BACKGROUND: Colorectal cancer (CRC) is a biologically heterogeneous disease in which tumor sidedness...
INTRODUCTION: Biomarker-guided stratification is essential for optimizing adjuvant systemic therapy ...
BACKGROUND: Predicting risk of cancer therapy-related cardiac dysfunction (CTRCD) remains challengin...
Recent advances in digital pathology and artificial intelligence (AI) are transforming our ability t...
PURPOSE: We aimed to develop and internally validate prediction models for one-month postoperative p...
Systemic therapy for hepatocellular carcinoma (HCC) has undergone rapid transformation over the past...
PURPOSE: Neurocognitive and endocrine dysfunction are potential complications of cranial irradiation...
BACKGROUND: Lung adenocarcinoma (LUAD), the predominant histological subtype of non-small cell lung ...
Quantitative imaging is an emerging field that may allow prediction of oncological outcomes. We inve...
BACKGROUND AND AIMS: Steatotic liver disease (SLD) has emerged as an important risk factor for hepat...
Nanomedicine-based cancer immunotherapy integrates nanotechnology with immune modulation, representi...
This review systematically analyzes the relationship between the immune microenvironment characteris...
BACKGROUND: Accurate preoperative prediction of renal tumor malignancy is critical for guiding decis...
PURPOSE: To evaluate the performance of deep learning models using optical coherence tomography (OCT...