Reasoning-Based Approach with Chain-of-Thought for Alzheimer's Detection Using Speech and Large Language Models
On the map: LLM reasoning → Clinical and biomedical applications
Abstract (arXiv)
Societies worldwide are rapidly entering a super-aged era, making elderly health a pressing concern. The aging population is increasing the burden on national economies and households. Dementia cases are rising significantly with this demographic shift. Recent research using voice-based models and large language models (LLM) offers new possibilities for dementia diagnosis and treatment. Our Chain-of-Thought (CoT) reasoning method combines speech and language models. The process starts with automatic speech recognition to convert speech to text. We add a linear layer to an LLM for Alzheimer's disease (AD) and non-AD classification, using supervised fine-tuning (SFT) with CoT reasoning and cues. This approach showed an 16.7% relative performance improvement compared to methods without CoT prompt reasoning. To the best of our knowledge, our proposed method achieved state-of-the-art performance in CoT approaches.
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). Placed in Clinical and biomedical applications, one of 17 directions in LLM reasoning. Builds on 12 of its 36 references that are in the map. First posted on arXiv 2 Jun 2025.
Builds on
12 of 36 references.
References · 12
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Built on by
Citing papers per year: 2025: 1; 2026: 7.
8 papers.
- 2026Towards Robust Speech Deepfake Detection via Human-Inspired Reasoningcited by 4
- 2025MMSE-Calibrated Few-Shot Prompting for Alzheimer's Detectioncited by 0
- 2026Chain-of-Thought Reasoning with Large Language Models for Clinical Alzheimer's Disease Assessment and Diagnosiscited by 0
- 2026Agentic Cognitive Profiling: Realigning Automated Alzheimer's Disease Detection with Clinical Construct Validitycited by 0
- 2026LoRA-Tuned Large Language Models for Dementia Detection via Multi-View Speech-Derived Featurescited by 0
- 2026Listening Between the Lines: Joint Learning of ASR Embeddings and LLM-Augmented Linguistics for Dementia Detectioncited by 0
- 2026Delta2Gamma: Band-Wise Adaptive Contrastive Learning of EEG for Alzheimer's Disease Detectioncited by 0
- 2026Explainable and Generalisable LLM-based Cognitive Decline Detection with Spontaneous Speechcited by 0
- 2026Explainable and Generalisable LLM-based Cognitive Decline Detection with Spontaneous Speech28 Sep 2026
- 2026Delta2Gamma: Band-Wise Adaptive Contrastive Learning of EEG for Alzheimer's Disease Detection18 Aug 2026
- 2026Listening Between the Lines: Joint Learning of ASR Embeddings and LLM-Augmented Linguistics for Dementia Detection26 Jun 2026
- 2026LoRA-Tuned Large Language Models for Dementia Detection via Multi-View Speech-Derived Features26 Jun 2026
- 2026Agentic Cognitive Profiling: Realigning Automated Alzheimer's Disease Detection with Clinical Construct Validity18 Mar 2026
- 2026Towards Robust Speech Deepfake Detection via Human-Inspired Reasoning11 Mar 2026
- 2026Chain-of-Thought Reasoning with Large Language Models for Clinical Alzheimer's Disease Assessment and Diagnosis15 Feb 2026
- 2025MMSE-Calibrated Few-Shot Prompting for Alzheimer's Detection24 Sep 2025
Similar, not cited
Close in wording, no citation either way
- 2024Profiling Patient Transcript Using Large Language Model Reasoning Augmentation for Alzheimer's Disease Detection
- 2025National Institute on Aging PREPARE Challenge: Early Detection of Cognitive Impairment Using Speech -- The SpeechCARE Solution
- 2025BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring
- 2025LLMCARE: early detection of cognitive impairment via transformer models enhanced by LLM-generated synthetic data
- 2026ADRD-Bench: A Preliminary LLM Benchmark for Alzheimer's Disease and Related Dementias
- 2025An Explainable Diagnostic Framework for Neurodegenerative Dementias via Reinforcement-Optimized LLM Reasoning
- 2026Toward Generalizable Cognitive Impairment Detection with Speech-Based Multimodal Large Language Models
- 2025CogBench: A Large Language Model Benchmark for Multilingual Speech-Based Cognitive Impairment Assessment