MULTIMODAL FRAMEWORK FOR AUTOMATED CHEST X-RAY DIAGNOSIS AND REPORT GENERATION

2023

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DOI 10.30888/2709-2267.2026-37-00-002
Data confidence 70 medium
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Abstract

Chest radiography accounts for 30–40% of all radiological examinations worldwide, yet its clinical effectiveness is constrained by inter-observer variability, persistent human error, and a global shortage of radiologists. This paper presents a modular fou