ArticleJournal of medicine and life
Respiratory sound analysis in the era of evidence-based medicine and the world of medicine 2.0.
Article in Journal of medicine and life. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Audio-based digital biomarkers in diagnosing and managing respiratory diseases: a systematic review and bibliometric analysis.European respiratory review : an official journal of the European Respiratory Society · 2025Pooled it
- Digital auscultation as a diagnostic aid to detect childhood pneumonia: A systematic review.Journal of global health · 2022Pooled it
- Deep learning diagnostic and risk-stratification pattern detection for COVID-19 in digital lung auscultations: clinical protocol for a case-control and prospective cohort study.BMC pulmonary medicine · 2021Trial
- Automated Detection of Carotid Artery Stenosis Using a Sensitive Accelerometer Wearable Sensor and Interpretable Machine Learning.Biosensors · 2026Article
- Monitoring Respiratory Health in Children With Acute Asthma Using Wearable Electrical Bioimpedance and Breath Sounds: Observational Case-Control Study.JMIR mHealth and uHealth · 2026Observational
- Diagnostic value of visual stethoscopes for detecting bronchospasm in a patient under general anesthesia - A case report.Anesthesia and pain medicine · 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
- Feasibility of snapshot testing using wearable sensors to detect cardiorespiratory illness (COVID infection in India).NPJ digital medicine · 2024Article
- Advances in Portable and Wearable Acoustic Sensing Devices for Human Health Monitoring.Sensors (Basel, Switzerland) · 2024Review
- Clinical Review of Hypertensive Acute Heart Failure.Medicina (Kaunas, Lithuania) · 2024Review
- Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification.IEEE open journal of engineering in medicine and biology · 2024Article
- Computerized respiratory sound based diagnosis of pneumonia.Medical & biological engineering & computing · 2024Article
- Enabling Continuous Breathing-Phase Contextualization via Wearable-Based Impedance Pneumography and Lung Sounds: A Feasibility Study.IEEE journal of biomedical and health informatics · 2023Article
- BrachySound: machine learning based assessment of respiratory sounds in dogs.Scientific reports · 2023Article
- Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study.BMC pulmonary medicine · 2023Article
- DeepBreath-automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries.NPJ digital medicine · 2023Article
- Chest Examination 3.0 With Wireless Technology in a Clinical Case Based on Literature Review.Cureus · 2023Article
- The coming era of a new auscultation system for analyzing respiratory sounds.BMC pulmonary medicine · 2022Review
- Observational
- A Wearable Multimodal Sensing System for Tracking Changes in Pulmonary Fluid Status, Lung Sounds, and Respiratory Markers.Sensors (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis paper describes the state of the art, scientific publications, and ongoing research related to the methods of analysis of respiratory sounds. METHODS AND MATERIAL: Narrative review of the current medical and technological literature using Pubmed and personal experience.
resultsWe outline the various techniques that are currently being used to collect auscultation sounds and provide a physical description of known pathological sounds for which automatic detection tools have been developed. Modern tools are based on artificial intelligence and techniques such as artificial neural networks, fuzzy systems, and genetic algorithms.
conclusionThe next step will consist of finding new markers to increase the efficiency of decision-aiding algorithms and tools.
Indexed as
Identifiers
30140315PMC6101681What 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.