ADVANCED MACHINE LEARNING FRAMEWORKS FOR PNEUMONIA DIAGNOSIS: INTEGRATING MULTIMODAL SIGNALS AND PRIVACY-PRESERVING TECHNIQUES
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.
References
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