COVID-19 patients

Incidents Harmed By

Incident 5352 Reports
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.

Related Entities

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

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

Icahn School of Medicine researchers

Incidents involved as Developer

Incident 535
2 Reports
COVID-19 Detection and Prognostication Models Allegedly Flagged for Methodological Flaws and Underlying Biases

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