NeoRed: A Knowledge-Logic-Alignment Multimodal Large Language Model for Neonatal Respiratory Disease Diagnosis

NeoRed is a multimodal large language model specifically designed for diagnosing neonatal respiratory diseases. It addresses two main limitations of existing models—domain gaps from adult data and inadequate integration of clinical context—by leveraging two real-world neonatal datasets (NeoCXR and NeoCXR-EV). The model incorporates a Knowledge-Logic-Alignment framework that injects diagnostic priors, aligns report semantics with diagnostic logic, and aligns visual features with imaging conclusions, achieving superior performance on neonatal benchmarks while maintaining adult benchmark performance.

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• llms
• multimodal
• benchmarks
• safety