Early detection of pancreatic cancer on computed tomography: advancements with deep learning.

ABSTRACT: Advancements in artificial intelligence (AI) are transforming medical imaging diagnostics, offering new possibilities for automated pancreatic tumor detection in computed tomography scans. Pancreatic ductal adenocarcinoma continues to be one of the most lethal malignancies, with early detection being critical for improving survival rates. Deep learning models can learn hierarchical feature representations directly from imaging data, enhancing tumor detection accuracy. However, variations in model performance, impaired generalizability, and limited interpretability remain critical barriers to clinical adoption. This article provides a comprehensive overview of deep learning-based pancreatic tumor detection, discussing fundamental concepts, recent advancements, and challenges for clinical ad

SUBMITTER: Lopez-Ramirez F 

PROVIDER: S-EPMC12534903 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature