Year: 2025
Type: article
Abstract: Heart failure (HF) is a complex and varied condition that affects over 50 million people worldwide. Artificial Intelligence (AI) algorithms, which represent a modern approach to computational problem-solving, have the potential to transform HF care by enhancing clinical decision making processes and enabling the early detection of patients at risk for subclinical or worsening HF. AI algorithms provide critical insights that assist health professionals in their clinical decisions. Numerous studies have shown that AI can analyze health data to detect patterns leading to new scientific discoveries and improved diagnostic tests.
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W7118424992
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