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NCT05281939
Multi-center Application of an AI System for Diagnosis of Cervical Lesions Based on Colposcopy Images
NA trial testing Artificial intelligence diagnosis in Artificial Intelligence in 10,000 participants. Status unknown.
1 August 2024
Quick facts
| Lead sponsor | Fujian Maternity and Child Health Hospital |
|---|---|
| Phase | NA |
| Status | Status unknown |
| Study type | INTERVENTIONAL |
| Allocation | randomized |
| Design | parallel |
| Masking | triple |
| Primary purpose | diagnostic |
| Enrollment | 10,000 |
| Start date | 1 August 2021 |
| Primary completion | 1 August 2024 |
| Estimated completion | 1 September 2024 |
| Sites | 5 locations across China |
Drugs / interventions tested
- Artificial intelligence diagnosis
Conditions studied
- Artificial Intelligence — all drugs for Artificial Intelligence →
- Colposcopy — all drugs for Colposcopy →
- Cervical Lesions — all drugs for Cervical Lesions →
- Image — all drugs for Image →
Sponsor
Fujian Maternity and Child Health Hospital
Who can join
18 and older, female only, with Artificial Intelligence or Colposcopy. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
The application of artificial intelligence in image recognition of cervical lesions diagnosis has become a research hotspot in recent years. The analysis and interpretation of colposcopy images play an important role in the diagnosis，prevention and treatment of cervical precancerous lesions and cervical cancer. At present, the accuracy of colposcopy detection is still affected by many factors. The research on the diagnosis system of cervical lesions based on multimodal deep learning of colposcopy images is a new and significant research topic. Based on the large database of cervical lesions diagnosis images and non-images, the research group established a multi-source heterogeneous cervical lesion diagnosis big data platform of non-image and image data. Research the lesions segmentation and classification model of colposcopy image based on convolutional neural network, explore the relevant medical data fusion network model that affects the diagnosis of cervical lesions, and realize a multi-modal self-learning artificial intelligence cervical lesion diagnosis system based on colposcopy images. The application efficiency of the artificial intelligence system in the real world was explored through the cohort, and the intelligent teaching model and method of cervical lesion diagnosis were further established based on the above intelligent system.
Publications & conference data
No peer-reviewed publications indexed yet for this trial.
Verify or expand the search:
- PubMed search for NCT05281939
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
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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 NCT05281939 (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 Fujian Maternity and Child Health Hospital
- Last refreshed: 18 November 2023
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