Last reviewed · How we verify
NCT05318599: DeepBreath
Deep Learning Diagnostic and Risk-stratification for IPF and COPD
trial testing Lung auscultation in Lung; Disease, Interstitial, With Fibrosis in 160 participants. Currently enrolling.
6 October 2024
Quick facts
| Lead sponsor | Pediatric Clinical Research Platform |
|---|---|
| Status | Recruiting now |
| Study type | OBSERVATIONAL |
| Enrollment | 160 |
| Start date | 1 April 2023 |
| Primary completion | 6 October 2024 |
| Estimated completion | 31 October 2024 |
| Sites | 1 location across Switzerland |
Drugs / interventions tested
- Lung auscultation
- Lung ultrasound
- Quality of Life's questionnaires
- Pulmonary functional tests
Conditions studied
- Lung; Disease, Interstitial, With Fibrosis — all drugs for Lung; Disease, Interstitial, With Fibrosis →
- Pulmonary Disease, Chronic Obstructive — all drugs for Pulmonary Disease, Chronic Obstructive →
- Artificial Intelligence — all drugs for Artificial Intelligence →
Sponsor
Pediatric Clinical Research Platform
Who can join
18 and older, any sex, with Lung; Disease, Interstitial, With Fibrosis or Pulmonary Disease, Chronic Obstructive. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Idiopathic pulmonary fibrosis (IPF), non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease (COPD) are severe, progressive, irreversibly incapacitating pulmonary disorders with modest response to therapeutic interventions and poor prognosis. Prompt and accurate diagnosis is important to enable patients to receive appropriate care at the earliest possible stage to delay disease progression and prolong survival. Artificial intelligence (AI)-assisted digital lung auscultation could constitute an alternative to conventional subjective operator-related auscultation to accurately and earlier diagnose these diseases. Moreover, lung ultrasound (LUS), a relevant gold standard for lung pathology, could also benefit from automation by deep learning.
Publications & conference data
2 peer-reviewed publications reference this trial (live from Europe PMC):
-
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.
Siebert JN, Hartley MA, Courvoisier DS, Salamin M, et al · · 2023 · cited 9× · PMID 37264374 · DOI 10.1186/s12890-022-02255-w -
Evolution of the Stethoscope: Advances with the Adoption of Machine Learning and Development of Wearable Devices.
Kim Y, Hyon Y, Woo SD, Lee S, et al · · 2023 · cited 2× · PMID 37592751 · DOI 10.4046/trd.2023.0065
Verify or expand the search:
- PubMed search for NCT05318599
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other trials of Lung auscultation
Trials testing the same drug.
- NCT06984120 — Increased Extravascular Lung Water in Asymptomatic Open-water Swimmers · completed
- NCT04740385 — Role of Lung Ultrasound in Confirmation of Correct Double Lumen Endotracheal Tube Placement in Thoracic Surgeries · completed
Other recruiting trials for Lung; Disease, Interstitial, With Fibrosis
Currently open trials in the same condition.
- NCT06482190 — A Study to Evaluate Safety, Tolerability and Pharmacokinetics of RSN0402 in Healthy Volunteers · Phase 1 · recruiting
- NCT03752892 — Partitioned Training of Patients With Idiopathic Pulmonary Fibrosis · NA · active not recruiting
- NCT03747627 — BPF Genetics of ILD Study · active not recruiting
Other Pediatric Clinical Research Platform trials
Trials by the same sponsor.
- NCT04464603 — Impact of a mHealth Supportive Tool on Cardiopulmonary Resuscitation' Situational Awareness · NA · not yet recruiting
- NCT05557331 — Effectiveness of a Mobile App in Reducing Therapeutic TAT in an Emergency Department · NA · recruiting
- NCT06373939 — Performance and Safety of the Pneumoscope Device in Adults and Children · NA · recruiting
- NCT05764850 — Mechanisms of Type 1 Diabetes Endophenotypes · unknown
- NCT05203146 — PIMPmyHospital: a Mobile App to Improve Emergency Care Efficiency and Communication · NA · completed
Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT05318599 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Pediatric Clinical Research Platform
- Last refreshed: 12 April 2024
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05318599.
Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing