{"slug": "ilens-interpretable-llm-guided-mixture-of-experts-for-neuroimaging-survival", "title": "iLENS: Interpretable LLM-Guided Mixture-of-Experts for Neuroimaging Survival Analysis", "summary": "Researchers propose iLENS, an interpretable LLM-guided mixture-of-experts framework for survival analysis in Alzheimer's disease conversion. The model synthesizes neuroimaging data and unstructured information to predict disease progression while providing transparent, biologically grounded rationales for its decisions. This approach bridges high-performance survival analysis with interpretable clinical decision support.", "body_md": "arXiv:2607.08778v1 Announce Type: new\nAbstract: Alzheimer's Disease (AD) is a complex neurodegenerative disorder that continues to impact millions of people worldwide. Predicting AD conversion during the prodromal stage remains critical for disease understanding and patient care. As such, survival models are widely used for AD risk prediction, yet they are typically static predictors with limited interpretability and no capacity for natural language reasoning. In this work, we propose iLENS, an interpretable large language model (LLM) guided framework based on mixture-of-experts (MoE) for survival prediction in AD conversion. Our approach uses LLM to synthesize structured neuroimaging measurements and unstructured information to guide expert routing. Our framework demonstrates competitive predictive performance and capability in patient subtyping. Furthermore, our framework provides transparent, biologically grounded rationales for its routing decisions, bridging the gap between high-performance survival analysis and interpretable clinical decision support.", "url": "https://wpnews.pro/news/ilens-interpretable-llm-guided-mixture-of-experts-for-neuroimaging-survival", "canonical_source": "https://arxiv.org/abs/2607.08778", "published_at": "2026-07-13 04:00:00+00:00", "updated_at": "2026-07-13 04:26:29.687771+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "machine-learning", "ai-research", "ai-ethics"], "entities": [], "alternates": {"html": "https://wpnews.pro/news/ilens-interpretable-llm-guided-mixture-of-experts-for-neuroimaging-survival", "markdown": "https://wpnews.pro/news/ilens-interpretable-llm-guided-mixture-of-experts-for-neuroimaging-survival.md", "text": "https://wpnews.pro/news/ilens-interpretable-llm-guided-mixture-of-experts-for-neuroimaging-survival.txt", "jsonld": "https://wpnews.pro/news/ilens-interpretable-llm-guided-mixture-of-experts-for-neuroimaging-survival.jsonld"}}