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Updated: Sep 19, 2025

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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
Published on: September 26, 2018
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Artificial intelligence: a promising tool for the clinical cardiologist.
Carlos Escobar1, Lorenzo Facila2, Rafael Vidal-Pérez3,4
1Cardiology Department, University Hospital La Paz, Madrid, Spain.
Expert Review of Cardiovascular Therapy
|June 16, 2025
Summary
Artificial intelligence (AI) is transforming cardiovascular disease (CVD) management by offering personalized medicine and improved efficiency. While AI shows great promise, widespread clinical implementation faces challenges and requires further medical knowledge.
Area of Science:
- Cardiology
- Artificial Intelligence
- Medical Informatics
Background:
- Cardiovascular diseases (CVDs) are a leading global cause of death, often due to late diagnosis and suboptimal treatment.
- The high prevalence of CVD strains healthcare systems, necessitating innovative solutions for patient care.
- Artificial intelligence (AI) presents a transformative technology with the potential to revolutionize clinical practice in cardiology.
Purpose of the Study:
- To review the impact of AI on the management of cardiovascular diseases from a clinical practice perspective.
- To identify current challenges and opportunities associated with AI implementation in cardiology.
- To assess the potential of AI in promoting personalized medicine and improving healthcare efficiency for cardiovascular patients.
Main Methods:
- A systematic literature search was conducted on PubMed (MEDLINE) up to February 2025.
- MeSH terms used included "Artificial intelligence", "Cardiology", and "Cardiovascular".
- Original data from clinical trials, observational studies, and relevant reviews were analyzed.
Main Results:
- AI-based algorithms can assist clinicians by enabling personalized medicine, enhancing efficiency, and improving outcome prediction in cardiovascular care.
- While some AI solutions are currently available, many are expected to be ready for clinical use in the near future.
- Significant challenges, barriers, and ethical concerns need to be addressed for the effective integration of AI into routine cardiovascular practice.
Conclusions:
- AI holds significant potential to advance cardiovascular disease management, offering improved diagnostics, personalized treatments, and operational efficiencies.
- The translation of AI technologies into routine clinical practice requires time, addressing existing hurdles and ethical considerations.
- There is a critical need to enhance medical professionals' understanding of AI's capabilities, impact, and practical application in cardiology.
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