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CIDRAP

New AI tool ferrets out long-COVID cases from patient records, estimates 23% prevalence

CIDRAP
Summary
Nutrition label

87% Informative

MGH researchers developed a tool that uncovers previously unrecognized signs of long COVID in electronic medical records.

The tool was roughly 3% more accurate than the relevant diagnostic code and less biased toward certain populations, such as those with better healthcare access.

Current estimates suggest a long-COVID prevalence of 7% , the researchers' estimate was much higher.

VR Score

94

Informative language

97

Neutral language

63

Article tone

semi-formal

Language

English

Language complexity

64

Offensive language

not offensive

Hate speech

not hateful

Attention-grabbing headline

not detected

Known propaganda techniques

not detected

Time-value

medium-lived

Source diversity

1

Affiliate links

no affiliate links