ArticleFrontiers in pediatrics2021
Real-World Verification of Artificial Intelligence Algorithm-Assisted Auscultation of Breath Sounds in Children.
Article in Frontiers in pediatrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed, 33 citations in OpenAlex.
- Wheeze detection in real-world pediatric care: AI applied to smartphone lung auscultation.European journal of pediatrics · 2026Observational
- Exploring reference standards for the measurement of respiratory rate in children under 5 years of age: a scoping review.BMJ paediatrics open · 2026Article
- Artificial Intelligence Enabled Lung Sound Auscultation in the Early Diagnosis and Subtyping of Interstitial Lung Disease.Journal of clinical medicine · 2025Review
- Performance of an artificial intelligence algorithm for interpreting lung sounds from children hospitalised with pneumonia in Malawi.Journal of global health · 2025Article
- Ensemble learning for biomedical signal classification: a high-accuracy framework using spectrograms from percussion and palpation.Scientific reports · 2025Article
- An explainable and accurate transformer-based deep learning model for wheeze classification utilizing real-world pediatric data.Scientific reports · 2025Article
- Early Diagnosis of Pneumonia and Chronic Obstructive Pulmonary Disease with a Smart Stethoscope with Cloud Server-Embedded Machine Learning in the Post-COVID-19 Era.Biomedicines · 2025Article
- Machine learning-driven strategies for enhanced pediatric wheezing detection.Frontiers in pediatrics · 2025Article
- Automated Interpretation of Lung Sounds by Deep Learning in Children With Asthma: Scoping Review and Strengths, Weaknesses, Opportunities, and Threats Analysis.Journal of medical Internet research · 2024Article
- Artificial intelligence and wheezing in children: where are we now?Frontiers in medicine · 2024Review
- Deep learning-based lung sound analysis for intelligent stethoscope.Military Medical Research · 2023Review
- Digital Pulmonology Practice with Phonopulmography Leveraging Artificial Intelligence: Future Perspectives Using Dual Microwave Acoustic Sensing and Imaging.Sensors (Basel, Switzerland) · 2023Review
- Chest Examination 3.0 With Wireless Technology in a Clinical Case Based on Literature Review.Cureus · 2023Article
- Review on the Advancements of Stethoscope Types in Chest Auscultation.Diagnostics (Basel, Switzerland) · 2023Review
- An accurate deep learning model for wheezing in children using real world data.Scientific reports · 2022Article
- The discerning ear: cardiac auscultation in the era of artificial intelligence and telemedicine.European heart journal. Digital health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What 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.