Machine Learning–Based Radiomics for Differentiating Pancreatic Lesions: A Potential Tool to Enhance Clinical Decision‐Making and Nursing Management.
Background: The noninvasive diagnosis of pancreatic lesions is a critical clinical challenge. This study aims to create machine learning (ML) radiomic models for differentiating pancreatic lesions and an integrated model for pancreatic ductal adenocarcinoma (PDAC) detection. Methods: 640 patients wi...
| Published in: | Journal of Nursing Management Vol. 2025; pp. 1 - 16 |
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| Main Authors: | , , , , , , , |
| Format: | diagnostic images research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
12/16/2025
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| Online Access: | View this record in EBSCOhost |