A Generalizable Three-Pillar Informatics Methodology for Safety-Critical Clinical AI APIs: Validation in Cardiology

Abstract excerpt

<title>Abstract</title> <p>This paper presents a novel informatics methodology for designing clinical AI APIs that integrates behavior-driven validation, adaptive physiological thresholding, and automated regulatory compliance into a unified, generalizable framework. The approach is designed to bridge the gap between algorithmic performance and real-world clinical reliability in safety-critical domains. We evalua...

Topics

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• Algorithms
• Arrhythmias, Cardiac
• Artificial Intelligence
• Biosensing Techniques
• Cardiomyopathies
• Electrocardiography
• Genotype
• Monitoring, Physiologic

Identifiers and source

Literature Corpus work

15db7d7b-7f0a-5ba0-bc09-546f592e91fd

DOI

10.21203/rs.3.rs-8621658/v1