Chapter 10
Clinical Applications of Artificial Intelligence in Early and Accurate Detection of Low-Concentration CVD Biomarkers
Meena Laad,
M.S Sajna, Kishor Kumar Sadasivuni,
Sadiya Waseem,
Meena Laad
Search for more papers by this authorKishor Kumar Sadasivuni
Search for more papers by this authorSadiya Waseem
Search for more papers by this authorMeena Laad,
M.S Sajna, Kishor Kumar Sadasivuni,
Sadiya Waseem,
Meena Laad
Search for more papers by this authorKishor Kumar Sadasivuni
Search for more papers by this authorSadiya Waseem
Search for more papers by this authorBook Editor(s):Kishor Kumar Sadasivuni, Hassen M. Ouakad, Somaya Al-Maadeed, Huseyin C. Yalcin, Issam Bait Bahadur,
First published: 22 April 2022
Abstract
Cardiovascular diseases (CVDs) are a mix of several types of disorders affecting the heart and blood vessels. A biosensor is considered as a very effective analytical tool in medical diagnostics for rapid detection of CVD disease at an early stage. CVD diagnostic techniques require blood tests to assess relevant biomarker levels. This chapter discusses that there are various types of biosensor: optical biosensors, electrochemical biosensors, and magnetic biosensors. Artificial intelligence (AI) provides excellent tools for the discovery of new biosensing materials for the early and precise detection of CVDs. The chapter describes some of the AI techniques used in cardiovascular medicine and digital healthcare applications. Technological advancements in AI have opened new areas and tools in the creation of novel modeling and predictive techniques for clinical applications in CVDs and have begun to infuse and reform cardiovascular medicine.
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