WF-VTWP5E
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.
- Date it happened
- 2020-01-01
- Organisation involved
- Mount Sinai Hospital, Unknown
- Product, system or model
- Researchers reviewed articles describing machine learning models developed for "fast and accurate detection and prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest radio
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Attribution
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