Sources
Incident summary from the AI Incident Database, used under CC BY-SA 4.0.
Home/AI Incident Database/COVID-19 Detection and Prognostication Models Allegedly Flagged for Methodological Flaws and Underlying Biases
COVID-19 Detection and Prognostication Models Allegedly Flagged for Methodological Flaws and Underlying Biases
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.
Contribute
Spot an error, or know a record we should add? Members can propose additions and submit corrections.