hal9000 - second Final phase submission


Logo for hal9000 - second Final phase submission

About

Creator:
Version:
a1fbaddc-2127-4581-9b19-fa39d8ffdd99
Last updated:
Sept. 20, 2022, 6:54 p.m.
Inputs:
  • CT Image  (Any CT image)
Outputs:
  • 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. 20, 2022 STOIC2021 Final 4

Model Facts

Summary

Submission by hal9000 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