MedTRACE: Tool-Augmented Multimodal Clinical Reasoning Agents for Evidence-Grounded Decision-Making

arXiv:2609.14823 · cs.CL · Submitted 2026-09-13 · Read on arXiv

cs.CL

Submitted: 2026-09-13

Updated: 2026-09-13

Comments: Accepted to the 22nd International Conference on Advanced Data Mining and Applications (ADMA 2026)

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Verification — 31× in this paper · explained in 2 episodes
• Calibration — 23× in this paper · explained in 7 episodes
• Grounding — 21× in this paper · explained in 3 episodes
• Accuracy — 20× in this paper · explained in 1 episode
• Consistency — 14× in this paper · explained in 3 episodes
• Visual Grounding — 13× in this paper · explained in 2 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Distillation — 7× in this paper · explained in 2 episodes
• Trace — 7× in this paper · explained in 2 episodes
• Foundation Model — 6× in this paper · explained in 3 episodes
• RAG — 6× in this paper · explained in 3 episodes
• Verifier — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Interpretability — 3× in this paper · explained in 15 episodes
• Knowledge Distillation — 3× in this paper · explained in 11 episodes
• Provenance — 3× in this paper · explained in 3 episodes
• Reinforcement Learning — 3× in this paper · explained in 4 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Alignment — 2× in this paper · explained in 1 episode
• Embeddings — 2× in this paper · explained in 2 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Accountability — 1× in this paper · explained in 2 episodes
• Active Learning — 1× in this paper · explained in 6 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Causal Inference — 1× in this paper · explained in 4 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Hallucination Detection — 1× in this paper · explained in 2 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Late Fusion — 1× in this paper · explained in 2 episodes
• Multi-Agent Framework — 1× in this paper · explained in 3 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Semi-supervised Learning — 1× in this paper · explained in 4 episodes
• World Model — 1× in this paper · explained in 7 episodes

Sources

• Qwen2.5-VL Technical Report
• Overconfidence and Calibration in Medical VQA: Empirical Findings and Hallucination-Aware Mitigation
• MHRGait: Gait Recognition from Momentum Human Rig Pose
• DDTime: Dataset Distillation with Spectral Alignment and Information Bottleneck for Time-Series Forecasting
• Rethinking Layer-Wise Information Allocation for Vision Foundation Model Adaptation
• MedMMV: A Controllable Multimodal Multi-Agent Framework for Reliable and Verifiable Clinical Reasoning
• MedGemma 1.5 Technical Report
• RoboAlign-R1: Distilled Multimodal Reward Alignment for Robot Video World Models
• Guideline-Grounded Evidence Accumulation for High-Stakes Agent Verification
• MIS-HCC: Hierarchical Channel Clustering for Efficient Medical Image Segmentation

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