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Diagnostic Accuracy of an Offline CNN Framework Utilizing Multi-View Chest X-Rays for Screening 14 Co-Occurring Communicable and Non-Communicable Diseases

2025-11-03

Abstract excerpt

<h4>Background: </h4> Chest radiography is the most widely used diagnostic imaging modality. Yet its interpretation is challenged by limited radiology workforce, especially in low- and middle-income countries (LMICs). The interpretation is both time consuming and error-prone in high volume settings. Artificial Intelligence (AI) systems trained on public data may lack generalizability to multi-view, real-world, loc...

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Literature Corpus work
f71b6dc3-d8b7-523b-a134-fc9afd17b5f9
DOI
10.20944/preprints202511.0057.v1
Open publication

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Diagnostic Accuracy of an Offline CNN Framework Utilizing Multi-View Chest X-Rays for Screening 14 Co-Occurring Communicable and Non-Communicable DiseasesDOI 10.20944/preprints202511.0057.v1
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