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

arXiv:2609.03527 · cs.AI · Submitted 2026-09-03 · Read on arXiv

cs.AI

Submitted: 2026-09-03

Updated: 2026-09-05

Terminology

• Alignment — 15× in this paper · explained in 1 episode
• Benchmark — 13× in this paper · explained in 2 episodes
• Ablation — 12× in this paper · explained in 1 episode
• Consistency — 10× in this paper · explained in 3 episodes
• Diagnostic Logic Constraint — 4× in this paper
• Foundation Model — 4× in this paper · explained in 3 episodes
• Generalization — 4× in this paper · explained in 13 episodes
• Contrastive Learning — 3× in this paper · explained in 5 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Instruction Tuning — 3× in this paper · explained in 2 episodes
• Pleural Effusion — 3× in this paper
• Semantic Alignment — 3× in this paper · explained in 3 episodes
• Visual Semantic Alignment — 3× in this paper
• Ablation Studies — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• External Validation — 2× in this paper · explained in 2 episodes
• F1 Score — 2× in this paper · explained in 3 episodes
• Neonatal Respiratory Distress Syndrome — 2× in this paper
• Ablation study — 1× in this paper · explained in 1 episode
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Domain Shift — 1× in this paper · explained in 4 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Longitudinal Data — 1× in this paper · explained in 2 episodes
• Multimodal Dataset — 1× in this paper · explained in 2 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Test-time Scaling — 1× in this paper · explained in 2 episodes

Sources

• Qwen Technical Report
• Qwen3-VL Technical Report
• Qwen2.5-VL Technical Report
• Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation
• HuatuoGPT-Vision, Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale
• Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic
• Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling
• PaddleOCR 3.0 Technical Report
• MedMO: Grounding and Understanding Multimodal Large Language Model for Medical Images
• ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
• PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging
• MAIRA-1: A specialised large multimodal model for radiology report generation
• LLaVA-OneVision: Easy Visual Task Transfer
• Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
• UMIT: Unifying Medical Imaging Tasks via Vision-Language Models
• RaTEScore: A Metric for Radiology Report Generation

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection