Advantages of integrating artificial intelligence and spectral CT for lung nodule classification and prognostic judgment: a narrative review.

ABSTRACT:

Background and objective

The accurate diagnosis of lung nodules remains a significant challenge in clinical practice due to their diverse and often nonspecific imaging characteristics. This limitation underscores the need for more advanced analytical approaches. The present review aims to summarise and discuss the advancements and applications of integrating artificial intelligence (AI) with spectral computed tomography (CT) for diagnosing lung nodules with diverse characteristics.

Methods

This narrative review sourced literature from PubMed/MEDLINE, Web of Science, and Google Scholar (2010-2025) using keywords "spectral CT", "pulmonary nodule", and "artificial intelligence". Inclusion criteria focused on studies applying spectral CT and/or AI to lung nodule characterization

SUBMITTER: Zhong M 

PROVIDER: S-EPMC12688506 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature