baseline


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About

Creators:
Image Version:
af223db4-4d91-4934-8a32-79eabb36e0cf
Last updated:
April 13, 2022, 1:55 p.m.

Interfaces

This algorithm implements all of the following input-output combinations:

Inputs Outputs
1
  • CT Image (Image)
  • Probability COVID-19 (Float)
  • Probability Severe COVID-19 (Float)
  • Challenge Performance

    Date Challenge Phase Rank
    April 13, 2022 STOIC2021 Qualification 11
    April 14, 2022 STOIC2021 Qualification (last submission) 14
    Sept. 22, 2022 STOIC2021 Final 8

    Model Facts

    Summary

    Submission by deakin-team 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).

    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