uaux2 - second Final phase submission
About
- CT Image (Any CT image)
- Probability COVID-19 (Probability of a positive RT-PCR result)
- Probability Severe COVID-19 (Probability of death or intubation at 1-month follow up)
Challenge Performance
| Date | Challenge | Phase | Rank |
|---|---|---|---|
| Sept. 23, 2022 | STOIC2021 | Final | 5 |
Model Facts
Summary
Submission by uaux2 to the Final phase of STOIC2021. Trained on the STOIC2021 Final phase training set, consisting of public and private training data. Not for clinical use.
Mechanism
The algorithm processes a CT scan of a suspected COVID-19 patient and produces the probability of a COVID-19 infection and a probability of severe outcome (death or intubation within one month).
Validation and Performance
Uses and Directions
This algorithm was developed for research purposes only.
Warnings
Common Error Messages
Information on this algorithm has been provided by the Algorithm Editors, following the Model Facts labels guidelines from Sendak, M.P., Gao, M., Brajer, N. et al. Presenting machine learning model information to clinical end users with model facts labels. npj Digit. Med. 3, 41 (2020). 10.1038/s41746-020-0253-3