2StepsV2
About
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Image Version:
37687580-47fb-45bc-ba4c-d036e80e2a13 — March 29, 2022
Summary
Submission by SYNLAB-SDN to the Qualification phase of STOIC2021. Trained on the STOIC2021 Qualification phase training set, consisting of public training data only. 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).
Interfaces
This algorithm implements all of the following input-output combinations:
Validation and Performance
Left empty by the Algorithm Editors
Challenge Performance
| Date | Challenge | Phase | Rank |
|---|---|---|---|
| March 29, 2022 | STOIC2021 | Qualification | 89 |
| April 13, 2022 | STOIC2021 | Qualification (last submission) | 8 |
| Sept. 15, 2022 | STOIC2021 | Final | 9 |
Uses and Directions
This algorithm was developed for research purposes only.
Warnings
Left empty by the Algorithm Editors
Common Error Messages
Left empty by the Algorithm Editors
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