ArticleNature medicine2022
Artificial intelligence-enabled detection and assessment of Parkinson's disease using nocturnal breathing signals.
Article in Nature medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05960890 (Cohort Study of Chronic Heart Failure), which is not on this map. Cited by 115 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Cohort Study of Chronic Heart Failure
Who cites it
115 citing papers in PubMed, 1 synthesis or guideline pooled it, 264 citations in OpenAlex.
- Dopaminergic responsiveness and dopaminergic challenge tests of Parkinson's disease: a systematic review and meta-analysis.Journal of neurology · 2025Pooled it
- Emerald Touchless Sensor Quantifies Nighttime Scratching and Sleep Quality in Children With Atopic Dermatitis: PEDISTAD EMERALD Study.Dermatology and therapy · 2026Article
- Sleep Disorders in Neurodegenerative Diseases: Pathological Correlations and Underlying Mechanisms.Neuroscience bulletin · 2026Review
- Human-inspired time-series health evaluation with an adaptive multimodal electronic skin.Science advances · 2026Article
- CLEAR: an auditable foundation model for radiology grounded in clinical concepts.Nature biomedical engineering · 2026Article
- Multimodal Electrophysiological Signals for Machine Learning-Aided Parkinson's Disease Diagnosis.Biosensors · 2026Article
- Bridging the global Parkinson's divide: Technology as a structural solution for equitable and brain health-integrated care.Journal of Parkinson's disease · 2026Review
- Artificial Intelligence That Changes Clinical Neurology Practice: Translating Algorithms Into Actionable Care.Journal of clinical neurology (Seoul, Korea) · 2026Review
- AI home monitoring for behavioral markers of cerebrovascular disease.NPJ digital medicine · 2026Article
- Adaptive Deep Brain Stimulation for Parkinson's Disease: Navigating the Roadblocks to Clinical Implementation.Movement disorders : official journal of the Movement Disorder Society · 2026Review
- Digitizing Dignity: Analyzing Digital Twins Through the Lens of Multidimensional Human Dignity.Bioethics · 2026Article
- From phenotype to biology: a multi-modal roadmap of biofluid, tissue, imaging, and digital biomarkers in Parkinson's disease.Translational neurodegeneration · 2026Review
- The future digital outpatient clinic for movement disorders: from technological innovation to ethical and systemic implementation-a position paper.Journal of neural transmission (Vienna, Austria : 1996) · 2026Review
- Artificial Intelligence Across the Drug Development Lifecycle.Medical sciences (Basel, Switzerland) · 2026Review
- Validation of remote multimodal AI screening for Parkinson disease across diverse settings.Communications medicine · 2026Article
- A Qualitative Exploration of Ethical Aspects of Using AI in Parkinson Disease: Patient Panel Study.JMIR AI · 2026Article
- A framework of digital biomarkers for neurodegenerative diseases.Nature reviews bioengineering · 2026Article
- Multimodal Intelligent Monitoring of Parkinson Disease: Scoping Review of Progress and Translational Challenges.Journal of medical Internet research · 2026Article
- Digital Technologies for Symptom Monitoring in Parkinson Disease.Current neurology and neuroscience reports · 2026Review
- Review
55 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 7 institutions in 1 country.
Funding
Abstract
There are currently no effective biomarkers for diagnosing Parkinson's disease (PD) or tracking its progression. Here, we developed an artificial intelligence (AI) model to detect PD and track its progression from nocturnal breathing signals. The model was evaluated on a large dataset comprising 7,671 individuals, using data from several hospitals in the United States, as well as multiple public datasets. The AI model can detect PD with an area-under-the-curve of 0.90 and 0.85 on held-out and external test sets, respectively. The AI model can also estimate PD severity and progression in accordance with the Movement Disorder Society Unified Parkinson's Disease Rating Scale (R = 0.94, P = 3.6 × 10
Indexed as
Identifiers
35995955PMC9556299W4299293190What OpenQuestion holds
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.