AI-Driven Approaches for Heart Valve Disease Diagnosis: A Detailed Review

DOI

10.2991/978-94-6463-858-5_23How to use a DOI?

Keywords

Artificial Intelligence; Heart Valve Disease; Machine Learning; Deep Learning; Medical Imaging; Predictive Analytics

Abstract

Heart Valve Disease (HVD) is a critical cardiovascular condition and it affects millions of people globally. Early detection and diagnosis accuracy are imperative to prevent severe complications such as heart failure. Artificial Intelligence (AI) has emerged as a transformative technology in medical diagnostics, providing high accuracy, efficiency, and reliability. This review explores the AI-driven methodologies for HVD diagnosis, encompassing machine learning (ML) and deep learning (DL) techniques, their implementation, challenges, and future prospects.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Poonam V. Kadam
AU  - J. W. Bakal
PY  - 2025
DA  - 2025/11/04
TI  - AI-Driven Approaches for Heart Valve Disease Diagnosis: A Detailed Review
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 254
EP  - 263
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_23
DO  - 10.2991/978-94-6463-858-5_23
ID  - Kadam2025
ER  -