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NCT04963348
Potential of Deep Learning in Assessing Pneumoconiosis Depicted on Digital Chest Radiography
trial testing convolutional neural networks (CNNs) in Pneumoconiosis in 1,881 participants. Completed in 31 December 2019.
31 December 2018
Quick facts
| Lead sponsor | Peking University Third Hospital |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 1,881 |
| Start date | 1 January 2015 |
| Primary completion | 31 December 2018 |
| Estimated completion | 31 December 2019 |
Drugs / interventions tested
- convolutional neural networks (CNNs)
Conditions studied
- Pneumoconiosis — all drugs for Pneumoconiosis →
Sponsor
Peking University Third Hospital
Who can join
Eligibility, any sex, with Pneumoconiosis. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Pneumoconiosis is relatively prevalent in low/middle-income countries, and it remains a challenging task to accurately and reliably diagnose pneumoconiosis. The investigators implemented a deep learning solution and clarified the potential of deep learning in pneumoconiosis diagnosis by comparing its performance with two certified radiologists. The deep learning demonstrated a unique potential in classifying pneumoconiosis.
Publications & conference data
No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.
Verify or expand the search:
- PubMed search for NCT04963348
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
Related trials
Other recruiting trials for Pneumoconiosis
Currently open trials in the same condition.
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Other Peking University Third Hospital trials
Trials by the same sponsor.
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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 NCT04963348 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Peking University Third Hospital
- Last refreshed: 15 July 2021
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/NCT04963348.
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