ArticleBrain sciences2022
Artificial Intelligence-Enabled End-To-End Detection and Assessment of Alzheimer's Disease Using Voice.
Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review.Journal of medical Internet research · 2023Pooled it
- A 60-second interpretable voice model for early dementia screening.PLOS digital health · 2026Article
- Early Detection of Alzheimer's Disease and Related Dementias From Spontaneous Speech Using Foundation Speech and Language Models: Comparative Evaluation.JMIR formative research · 2026Article
- Assessment of Language Impairments Towards Identifying Markers for Early Diagnosis of Pathological Cognitive Decline.Behavioral sciences (Basel, Switzerland) · 2026Review
- A Machine Learning Framework for Cognitive Impairment Screening from Speech with Multimodal Large Models.Bioengineering (Basel, Switzerland) · 2026Article
- Script Generation as an Efficient Measure of Cognition and Everyday Function in Older Adults.medRxiv : the preprint server for health sciences · 2025Article
- Article
- Utility of artificial intelligence-based conversation voice analysis for detecting cognitive decline.PloS one · 2025Article
- Early Alzheimer's Detection Through Voice Analysis: Harnessing Locally Deployable LLMs viaAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025Article
- Alzheimer's disease recognition based on waveform and spectral speech signal processing.Biomedical engineering letters · 2025Article
- Multilingual Prediction of Cognitive Impairment with Large Language Models and Speech Analysis.Brain sciences · 2024Article
- Analysis of Speech Features in Alzheimer's Disease with Machine Learning: A Case-Control Study.Healthcare (Basel, Switzerland) · 2024Article
- Digital detection of Alzheimer's disease using smiles and conversations with a chatbot.Scientific reports · 2024Article
- Advances in artificial intelligence for diagnosing Alzheimer's disease through speech.Annals of medicine and surgery (2012) · 2024Article
- A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis.Bioengineering (Basel, Switzerland) · 2024Review
- Article
- An Experimental Analysis on Multicepstral Projection Representation Strategies for Dysphonia Detection.Sensors (Basel, Switzerland) · 2023Article
- Efficient Pause Extraction and Encode Strategy for Alzheimer's Disease Detection Using Only Acoustic Features from Spontaneous Speech.Brain sciences · 2023Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
There is currently no simple, widely available screening method for Alzheimer's disease (AD), partly because the diagnosis of AD is complex and typically involves expensive and sometimes invasive tests not commonly available outside highly specialized clinical settings. Here, we developed an artificial intelligence (AI)-powered end-to-end system to detect AD and predict its severity directly from voice recordings. At the core of our system is the pre-trained data2vec model, the first high-performance self-supervised algorithm that works for speech, vision, and text. Our model was internally evaluated on the ADReSSo (Alzheimer's Dementia Recognition through Spontaneous Speech
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.