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- Sneha Annie Sebastian, Edzel Lorraine Co, Arun Mahtani, Inderbir Padda, Mahvish Anam, Swapna Susan Mathew, Ayesha Shahzadi, Maha Niazi, Shubhadarshini Pawar, and Gurpreet Johal.
- Azeezia Medical College, Kollam, Kerala, India. Electronic address: snehaann1991@gmail.com.
- Dis Mon. 2024 Feb 1; 70 (2): 101634101634.
AbstractHeart failure (HF) is a common clinical condition encountered in various healthcare settings with a vast socioeconomic impact. Recent advancements in pharmacotherapy have led to the evolution of novel therapeutic agents with a decrease in hospitalization and mortality rates in HF with reduced left ventricular ejection fraction (HFrEF). Lately, the introduction of artificial intelligence (AI) to construct decision-making models for the early detection of HF has played a vital role in optimizing cardiovascular disease outcomes. In this review, we examine the newer therapies and evidence behind goal-directed medical therapy (GDMT) for managing HF. We also explore the application of AI and machine learning (ML) in HF, including early diagnosis and risk stratification for HFrEF.Copyright © 2023 Elsevier Inc. All rights reserved.
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