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Clinically grounded multi-agent artificial intelligence for preventive health management

2026-04-09

Abstract excerpt

<title>Abstract</title> <p>Routine health examinations generate dense, heterogeneous data, yet their preventive value depends on consistent interpretation, calibrated risk stratification, and actionable follow-up. In practice, these tasks are distributed across clinicians and time, leading to variability in the detection of subtle abnormalities and in decisions about when and how to intervene. Such variability re...

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Literature Corpus work
012afa12-8e29-5f2f-8280-c870d45f1b12
DOI
10.21203/rs.3.rs-9150301/v1
Open publication

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Clinically grounded multi-agent artificial intelligence for preventive health managementDOI 10.21203/rs.3.rs-9150301/v1
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