MedGuideX: Internalizing Decision Logic from Executable Guidelines into Large Language Models for Clinical Reasoning
The article discusses MedGuideX, a new approach to integrating clinical practice guidelines into large language models for improved clinical reasoning. By transforming guidelines into executable decision logic, the model enhances its ability to generate accurate question-answering data. The results indicate a significant improvement in clinical reasoning accuracy and alignment with physician evaluations.
- ▪MedGuideX utilizes a guideline-derived training pipeline to enhance clinical decision-making in large language models.
- ▪The model achieved a 10.28% relative improvement in average accuracy across four clinical reasoning benchmarks.
- ▪Physician evaluations indicated that MedGuideX produces more faithful, valid, complete, and clear rationales compared to existing methods.
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Record
| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2605.26567 |
| Publication time | Wed, 27 May 2026 00:00:00 -0400 |
| Retrieval time | 2026-05-27T04:07:56.398Z |
| Last seen | 2026-05-27T04:07:56.398Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | yOvxjmT3g9Nz |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Computer Science > Artificial Intelligence arXiv:2605.26567 (cs) [Submitted on 26 May 2026] Title:MedGuideX: Internalizing Decision Logic from Executable Guidelines into Large Language Models for Clinical Reasoning Authors:Yuhao Shen, Lang Cao, Simo Du, Yuqing Wang, Juexiao Zhou, Hao Peng, Yue Guo View a PDF of the paper titled MedGuideX: Internalizing Decision Logic from Executable Guidelines into Large Language Models for Clinical Reasoning, by Yuhao Shen and 6 other authors View PDF HTML (experimental) Abstract:Clinical practice guidelines (CPGs) encode evidence-based decision logic that clinicians apply by evaluating patient variables, conditional criteria, and recommendation rules.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv cs.AI.
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