A new AI tool developed by Mass General Brigham has identified long COVID in 22. 8% of patients, significantly higher than previous estimates of 7%. This AI tool uses "precision phenotyping" to distinguish symptoms specific to SARS-CoV-2 infection, excluding pre-existing conditions, thus improving diagnostic accuracy by about 3%. The algorithm analyzes health records from nearly 300, 000 patients across several hospitals and health centers, providing results that align with Massachusetts's demographic profile, thus reducing biases present in traditional diagnostics. Published results suggest that this method may aid in diagnosing and treating long COVID by providing a clearer understanding of its symptoms.
The tool helps clinicians differentiate the condition from other health issues and is part of an effort to advance research on the genetic and biochemical factors of long COVID. Despite limitations in health record data completeness and reduced COVID-19 testing, the study advocates using this AI tool for broader, unbiased diagnosis and future research on long COVID's subtypes, potentially aiding marginalized communities. The research was funded by the NIH and other organizations, with plans to make the algorithm publicly accessible to improve global healthcare outcomes.
New AI Tool Accurately Identifies Long COVID in Nearly 23% of Patients
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