A model integrating deep learning with clinical and epidemiologic data may significantly improve lung cancer risk prediction based on LDCT screening.

Final random-forest-based models outperformed all publicly available risk scores on internal and external test sets.

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...

In the current global oncology landscape, solid tumors comprise over 70% of all cancer cases. They are responsible for the majority of cancer-related ...