Article

Research on the construction and application of a multi-feature auxiliary diagnostic model for uremic pneumonia based on radiomics and deep learning: a retrospective bi-centre study

2025-08-11

Abstract excerpt

<title>Abstract</title> <p>Objective This study aimed to develop and validate a diagnostic model that integrates radiomics and deep learning (DL) for the early differentiation of uremic pneumonia (UP) from pulmonary infection (PI) in non-dialysis patients. Methods This study retrospectively analyzed the clinical data and non-contrast CT images of 334 non-dialysis patients with stage 5 chronic kidney disease (CKD)...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 2d4fe98d-65dd-5692-8207-1e53732eac52
DOI: 10.21203/rs.3.rs-7079017/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Research on the construction and application of a multi-feature auxiliary diagnostic model for uremic pneumonia based on radiomics and deep learning: a retrospective bi-centre studyDOI 10.21203/rs.3.rs-7079017/v1Read

Differentiation of Pneumocystis Pneumonia from Pulmonary Tuberculosis in HIV/AIDS Patients Using a CT-based Multimodal Deep Learning ModelSemantic proximity Read

An End-to-End Integrated Clinical and CT Based Radiomics Nomogram for Predicting Disease Severity and Need for Ventilator Support in COVID-19 Patients: A Large Multi-Site Retrospective StudySemantic proximity Read

Deep Learning‑based Ultra-high-resolution CT imaging of Viral Pneumonia at Admission and after DischargeSemantic proximity Read

Application of deep learning to automated diagnosis of computed tomography images of pulmonary infectionsSemantic proximity Read

Development of machine learning-based differential diagnosis model and risk prediction model of organ damage for severe Mycoplasma pneumoniae pneumonia in childrenSemantic proximity Read

Differentiating novel coronavirus pneumonia from general pneumonia based on machine learningSemantic proximity Read

Impact of ROIs Delineation Strategies on the Performance of Artificial Intelligence-Aided COVID-19 Screening AlgorithmsSemantic proximity Read

Using contrast-enhanced CT and non-contrast-enhanced CT to predict EGFR mutation status in NSCLC patients-a radiomics nomogram analysis.Semantic proximity Read

A Novel Deep Convolutional Network Based on Transfer Learning for lung Image Disease DiagnosisSemantic proximity Read

Improving Risk Stratification of Pulmonary Nodules: An Integrated Perinodular Vascular and Radiomic Model for Clinical Decision SupportSemantic proximity Read

System for Quantitative Diagnosis of COVID-19-Associated Pneumonia Based on Superpixels With Deep Learning and Chest CTSemantic proximity Read

Determination of Robust Regional CT Radiomics Features for COVID-19Semantic proximity Read