Evidence record 17920 · automatically gathered

LSEAD: A Privacy-Preserving LLM-Based Speech Analysis Framework for Early Alzheimer's Disease Screening

Early diagnosis of Alzheimer's disease (AD) is critical for enabling timely interventions that may slow disease progression and improve patient outcomes. There is a growing need for AD detection methods that are non-invasive and cost-effective, especially in real-world clinical settings with diverse patient populations and recording conditions. Speech-based screening addresses these needs by using natural speech collected without specialized equipment. Recent advances in large language models (L

Record details

Published: 7 August 2026
Source: arXiv cs.AI
Category: Research
Topics: Privacy · Healthcare
Retrieved: 10 August 2026

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ethics.ai (7 August 2026), “LSEAD: A Privacy-Preserving LLM-Based Speech Analysis Framework for Early Alzheimer's Disease Screening,” evidence record 17920, https://ethics.ai/record/17920 (originally published by arXiv cs.AI).

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