Medical Heuristic Learning: An LLM-Driven Framework for Interpretable and Auditable Clinical Decision Rules

arXiv:2606.16337 · cs.AI, cs.HC, cs.LG · Submitted 2026-06-15 · Read on arXiv

cs.AI, cs.HC, cs.LG

Submitted: 2026-06-15

Updated: 2026-09-02

Code: https://github.com/MPU-Li-OmicsLab/medical-heuristic-learning

Project page: https://trinkle23897.github.io

Terminology

• Transformer — 59× in this paper · explained in 2 episodes
• Medical Heuristic Learning — 38× in this paper
• Continual Learning — 19× in this paper · explained in 2 episodes
• Adaptation — 11× in this paper · explained in 1 episode
• Interpretability — 11× in this paper · explained in 15 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Accuracy — 5× in this paper · explained in 1 episode
• Accountability — 4× in this paper · explained in 2 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Catastrophic Forgetting — 4× in this paper · explained in 5 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Adaptability — 3× in this paper · explained in 1 episode
• Iterative Refinement — 3× in this paper · explained in 3 episodes
• Medical Information Mart for Intensive Care — 3× in this paper
• Predictive Modeling — 3× in this paper · explained in 2 episodes
• Critical Care Information Database — 2× in this paper
• Foundation Model — 2× in this paper · explained in 3 episodes
• Hallucination — 2× in this paper · explained in 3 episodes
• Large Language Model (LLM) — 2× in this paper · explained in 3 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Combinatorial Optimization — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Verification — 1× in this paper · explained in 2 episodes

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