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Advanced Machine Learning Frameworks for Pneumonia Diagnosis: Integrating Multimodal Signals and Privacy-preserving Techniques

Year: 2026
Type: conference-paper
Abstract: Pneumonia remains a leading cause of morbidity and mortality worldwide, disproportionately affecting vulnerable populations such as young children and the elderly. Traditional diagnostic workflows, which heavily rely on manual triage and resource-intensive imaging assessments, are increasingly strained by rising patient volumes in emergency departments.
Language: English
Field: Medicine
Open Access status: green
OpenAlex ID: W7160857910
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