Detection of protein-losing enteropathy (PLE) ultrasonographic imaging features in dogs using deep learning neural networks.

ABSTRACT: Artificial intelligence (AI)-based models and algorithms may aid in achieving overall more efficient and accurate diagnostics in various medical specialties. Such AI-based tools could be integrated and potentially offer advantages over currently used diagnostic and monitoring algorithms, enabling the pursue of more individualized treatment options with potentially improved patient outcomes in the future. However, very few studies exploring the potential of AI-based tools have been reported in veterinary medicine. Diagnosis and subclassification of chronic inflammatory enteropathy (CIE) and protein-losing enteropathy (PLE), requiring an integrated approach including several diagnostic modalities, remains a challenge in clinical canine gastroenterology and might benefit from AI-based tools.

SUBMITTER: Reichert AK 

PROVIDER: S-EPMC12823995 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature