ArticleDysphagia2023
A Systematic and Universal Artificial Intelligence Screening Method for Oropharyngeal Dysphagia: Improving Diagnosis Through Risk Management.
Article in Dysphagia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- Predictive models for dysphagia in older adults: a systematic review and meta-analysis.Frontiers in public health · 2026Pooled it
- Economic Evaluation of Clinical, Nutritional and Rehabilitation Interventions on Oropharyngeal Dysphagia after Stroke: A Systematic Review.Nutrients · 2023Pooled it
- Transcutaneous electrical stimulation in chronic post-stroke oropharyngeal dysphagia: pooled biomechanical and kinematic analysis from a one-year randomized controlled clinical trial.Scientific reports · 2025Trial
- Artificial intelligence for dysphagia screening: A machine learning approach.PLOS digital health · 2026Article
- Artificial intelligence tools for the assessment and management of dysphagia: a scoping review.BMJ open · 2026Article
- Review
- Article
- Observational
- Early detection of oropharyngeal dysphagia in rehabilitation and long-term care sectors: the EDOR-Care cross-sectional study protocol.BMJ public health · 2026Article
- A Machine Learning Pipeline for Automated Bolus Segmentation and Area Measurement in Swallowing Videofluoroscopy Images of an Infant Pig Model.Dysphagia · 2025Article
- Assessing the prevalence and the underdiagnosis of aspiration pneumonia among older hospitalized patients with community-acquired pneumonia using an artificial intelligence algorithm.Pneumonia (Nathan Qld.) · 2025Article
- Digital health technologies in swallowing care from screening to rehabilitation: A narrative review.Auris, nasus, larynx · 2025Review
- Chemotherapy/Radiotherapy-Induced Dysphagia in Head and Neck Tumors: A Challenge for Otolaryngologists in Low- to Middle-Income Countries.Dysphagia · 2025Review
- Risk Factors for Oropharyngeal Dysphagia in Older Adults - Evidence from Consorci Sanitari Del Maresme and Mataró University Hospital, Catalonia, Spain.Aging and disease · 2025Article
- Prevalence of dehydration in older hospitalized patients with oropharyngeal dysphagia.GeroScience · 2025Article
- Article
- An introduction to machine learning and generative artificial intelligence for otolaryngologists-head and neck surgeons: a narrative review.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024Review
- The Impact of Frailty, Oropharyngeal Dysphagia and Malnutrition on Mortality in Older Patients Hospitalized for Covid-19.Aging and disease · 2024Article
- Complications of oropharyngeal dysphagia in older individuals and patients with neurological disorders: insights from Mataró hospital, Catalonia, Spain.Frontiers in neurology · 2024Article
- Reply to the Letter to the Editor: Reply to the Letter to the Editor: Eating assessment tool (EAT-10) Has Been Validated as a Screening Tool for Dysphagia, Not for Oropharingeal Dysphagia.The journal of nutrition, health & aging · 2023Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Oropharyngeal dysphagia (OD) is underdiagnosed and current screening is costly. We aimed: (a) to develop an expert system (ES) based on machine learning that calculates the risk of OD from the electronic health records (EHR) of all hospitalized older patients during admission, and (b) to implement the ES in a general hospital. In an observational, retrospective study, EHR and swallowing assessment using the volume-viscosity swallow test for OD were captured over 24 months in patients > 70 yr admitted to Mataró Hospital. We studied the predictive power for OD of 25,000 variables. ES was obtained using feature selection, the final prediction model was built with non-linear methods (Random Forest). The database included 2809 older patients (mean age 82.47 ± 9.33 yr), severely dependent (Barthel Index 47.68 ± 31.90), with multiple readmissions (4.06 ± 7.52); 75.76% had OD. The psychometrics of the ES built with a non-linear model were: Area under the ROC Curve of 0.840; sensitivity 0.940; specificity, 0.416; Positive Predictive Value 0.834; Negative Predictive Value 0.690; positive likelihood ratio (LH), 1.61 and negative LH, 0.146. The ES screens in 6 s all patients admitted to a 419-bed hospital, identifies patients at greater risk of OD, and shows the risk for OD in the clinician's workstation. It is currently in use at our institution. Our ES provides accurate, systematic and universal screening for OD in real time during hospital admission of older patients, allowing the most appropriate diagnostic and therapeutic strategies to be selected for each patient.
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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.