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Entities

Icahn School of Medicine researchers

Incidents involved as Developer

Incident 5352 Report
COVID-19 Detection and Prognostication Models Allegedly Flagged for Methodological Flaws and Underlying Biases

2020-01-01

Peer-review of papers about COVID-19 detection and prognostication algorithms from 2020, including deployed models, revealed none to be ready for clinical use, due to methodological flaws and underlying biases such as lacking external validation or not specifying data sources and model training details.

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Related Entities
Other entities that are related to the same incident. For example, if the developer of an incident is this entity but the deployer is another entity, they are marked as related entities.
 

Entity

Mount Sinai Hospital

Incidents involved as Deployer
  • Incident 535
    2 Reports

    COVID-19 Detection and Prognostication Models Allegedly Flagged for Methodological Flaws and Underlying Biases

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Entity

unknown

Incidents involved as both Developer and Deployer
  • Incident 535
    2 Reports

    COVID-19 Detection and Prognostication Models Allegedly Flagged for Methodological Flaws and Underlying Biases

More
Entity

COVID-19 patients

Incidents Harmed By
  • Incident 535
    2 Reports

    COVID-19 Detection and Prognostication Models Allegedly Flagged for Methodological Flaws and Underlying Biases

More
Entity

COVID-19 healthcare providers

Incidents Harmed By
  • Incident 535
    2 Reports

    COVID-19 Detection and Prognostication Models Allegedly Flagged for Methodological Flaws and Underlying Biases

More

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