Trials / Unknown
UnknownNCT04890847
A Platform for Multidisciplinary Medical Artificial Intelligence Development
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 200 (estimated)
- Sponsor
- Sun Yat-sen University · Academic / Other
- Sex
- All
- Age
- —
- Healthy volunteers
- Accepted
Summary
Biomedical deep learning (DL) often relies heavily on generating reliable labels for large-scale data and highly technical requirements for model training. To efficiently develop DL models, we established an integrated platform to introduce automation to both annotation and model training-the primary process of DL model development. Based on this platform, we quantitively validated and compared the annotation strategy and AI model development with the pure manual annotation method performed on medical image datasets from multiple disciplines.
Conditions
Timeline
- Start date
- 2021-03-18
- Primary completion
- 2021-04-01
- Completion
- 2021-05-31
- First posted
- 2021-05-18
- Last updated
- 2021-05-18
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT04890847. Inclusion in this directory is not an endorsement.