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ABSTRACT: Background
Thymic epithelial tumors (TETs) are rare, but they are the most common tumors in the anterior mediastinum. The use of artificial intelligence (AI) in the medical field is rapidly advancing. Especially in a rare disease such as TET, AI can help to improve existing care and foster new innovations. However, there are many different AI models with various implications. This systematic review aims to give an overview of recent studies on AI applications for the diagnosis and prognosis of TETs.Methods
In this systematic review, six electronic databases were searched for research papers with the keywords "thymoma", "thymic epithelial tumors", "thymic carcinoma", "artificial intelligence", "machine learning" and "deep learning". The screening was performed by two reviewe
SUBMITTER: Esteve Dominguez AS
PROVIDER: S-EPMC12518590 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature