Latest AI and machine learning research in other cancers for healthcare professionals.
Non-invasive diagnostic monitoring techniques have become essential for treating lung cancer (LC), w...
The high morbidity and mortality of hepatocellular carcinoma (HCC) impose a substantial economic bur...
BACKGROUND: Esophageal squamous cell carcinoma (ESCC) poses a significant global health challenge wi...
Lung cancer remains the leading cause of cancer-related mortality worldwide, with its early detectio...
Esophageal cancer (EC) is one of the leading causes of cancer-related mortality worldwide, still fac...
Chimeric antigen receptor (CAR) T cell immunotherapy represents a breakthrough in the treatment of h...
This study examines GPT-4o's ability to communicate effectively with relatives of patients undergoi...
Over the past several decades, there has been a significant increase in the number of breast cancer ...
PURPOSE: Cetuximab (CET), targeting the epidermal growth factor receptor, is a systemic treatment op...
RATIONALE AND OBJECTIVES: To develop and validate a computed tomography (CT) radiomics-based interpr...
Cancer drug resistance poses a significant challenge in oncology, primarily driven by cancer cell pl...
BACKGROUND: Analysis of Electronic Health Records (EHRs) is crucial in real-world evidence (RWE), es...
MXenes and their composites exhibit remarkable electrical conductivity, mechanical flexibility, and ...
Ovarian cancer (OV) remains the most lethal gynecological malignancy. The aim of this study was to i...
Epidermal growth factor receptor (EGFR) is a potential target for anticancer therapies and plays a c...
RATIONALE AND OBJECTIVES: This study aimed to explore the feasibility of using habitat radiomics bas...
BACKGROUND: Malignant digestive tract tumors are highly prevalent and fatal tumor types globally, of...
BACKGROUND: Deep learning(DL) models can improve significantly discrimination of lymph node metastas...
OBJECTIVE: The assessment of immunotherapy plays a pivotal role in the clinical management of skin m...
To explore the value of applying the MRI-based radiomic nomogram for predicting lymph node metastasi...
BACKGROUND AND PURPOSE: To establish predictive models for radiation-induced hypoglossal neuropathy ...