mlsanityData to 14 Oct 2026

Reasoning-Based Approach with Chain-of-Thought for Alzheimer's Detection Using Speech and Large Language Models

arXiv 2506.01683 ↗First posted 2 Jun 2025cs.AIcited by 8

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

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2023GPT-4 Technical Reportcited by 18,396
  3. 2024The Llama 3 Herd of Modelscited by 14,715
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  12. 2021Comparing Acoustic-based Approaches for Alzheimer's Disease Detectioncited by 21

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 7.

8 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2024Profiling Patient Transcript Using Large Language Model Reasoning Augmentation for Alzheimer's Disease Detection
  2. 2025National Institute on Aging PREPARE Challenge: Early Detection of Cognitive Impairment Using Speech -- The SpeechCARE Solution
  3. 2025BRAINS: A Retrieval-Augmented System for Alzheimer's Detection and Monitoring
  4. 2025LLMCARE: early detection of cognitive impairment via transformer models enhanced by LLM-generated synthetic data
  5. 2026ADRD-Bench: A Preliminary LLM Benchmark for Alzheimer's Disease and Related Dementias
  6. 2025An Explainable Diagnostic Framework for Neurodegenerative Dementias via Reinforcement-Optimized LLM Reasoning
  7. 2026Toward Generalizable Cognitive Impairment Detection with Speech-Based Multimodal Large Language Models
  8. 2025CogBench: A Large Language Model Benchmark for Multilingual Speech-Based Cognitive Impairment Assessment