Latest AI and machine learning research in other cancers for healthcare professionals.
Non-small cell lung cancer (NSCLC) presents persistent challenges in immunotherapy, as the clinical ...
Hepatocellular carcinoma (HCC), the most common form of primary liver cancer, remains a major global...
BACKGROUND: Endoscopic diagnosis of Ampulla of Vater (AoV) lesions remains challenging owing to comp...
BACKGROUND: Vessels encapsulating tumor clusters (VETC) are significantly associated with poor progn...
The immunosuppressive tumor microenvironment (TME) enables cancer cells to evade clinical immunother...
Medullary thyroid carcinoma (MTC) is a rare, aggressive neuroendocrine tumor with limited treatment ...
Breast cancer remains a major global health challenge with high incidence and mortality rates among ...
BACKGROUND: Artificial intelligence (AI)-assisted endoscopy facilitates upper gastrointestinal lesio...
Bladder cancer remains a major global health challenge, characterized by diagnostic uncertainty, sub...
BACKGROUND: Cancer-associated fibroblasts (CAFs) are key players in the tumor microenvironment (TME)...
The gut microbiome is recognized as a determinant of response to immune checkpoint inhibitor (ICI) t...
PURPOSE: To evaluate the diagnostic accuracy of artificial intelligence (AI) based on convolutional ...
Direct reprogramming of immune cells holds promise for immunotherapy but is constrained by limited k...
The rapid development of multimodal large language models (LLMs) such as GPT and Med-PaLM is reshapi...
Lung-cancer-on-a-chip (LCOC) technologies have advanced rapidly, yet most models evaluate mechanical...
OBJECTIVES: Studies have reported promising results regarding artificial intelligence (AI) as a tool...
BACKGROUND: The aim of this study was to identify and validate clinically meaningful predictors of l...
BACKGROUND: AI-enabled personalized treatment planning may improve outcomes by tailoring care, yet i...
Chimeric antigen receptor T-cell (CAR-T) therapy has achieved unprecedented success in hematological...
STUDY DESIGN: Large multicenter prospective study. OBJECTIVE: We aimed to develop and validate a nov...
PURPOSE: To develop and validate a nomogram model that can accurately differentiate fat-poor angiomy...