Enhancing noninvasive pancreatic cystic neoplasm diagnosis with multimodal machine learning

Enhancing noninvasive pancreatic cystic neoplasm diagnosis with multimodal machine learning

Abstract Pancreatic cystic neoplasms (PCNs) are a complex group of lesions with a spectrum of malignancy. Accurate differentiation of PCN types is crucial for patient management, as misdiagnosis can result in unnecessary surgeries or treatment delays, affecting the quality of life. The significance...

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Bibliographic Details
Main Authors: Wei Huang, Yue Xu, Zhao Li, Jun Li, Qing Chen, Qiang Huang, Yaping Wu, Hongtan Chen
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Pancreatic cystic neoplasms
Machine learning
Diagnostic classification
Multimodal data
Clinical screening
Online Access:https://doi.org/10.1038/s41598-025-01502-4
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https://doi.org/10.1038/s41598-025-01502-4

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