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Artificial Intelligence Driven Software Systems for Cardiovascular Disease Detection Using Physiological Signals: A Systematic Review

2026-02-11

Abstract excerpt

<title>Abstract</title> <p>Cardiovascular disease (CVD) exacts an extraordinary global toll, with annual mortality exceeding 17.9 million lives and representing nearly one-third of all deaths worldwide. Reducing diagnostic delays, particularly in resource-limited settings, requires innovative, scalable, and cost-effective solutions. Artificial intelligence (AI) integrated with mobile and wearable technologies off...

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Literature Corpus work: 94514a3f-3413-5278-9592-98af5de22fea
DOI: 10.21203/rs.3.rs-8737888/v1

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