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AI in interventional cardiology: Innovations and challenges
Dmitrii Khelimskii1, Aram Badoyan1, Oleg Krymcov1
1Meshalkin National Medical Research Center, Ministry of Health of Russian Federation, Novosibirsk, Russian Federation.
Heliyon
|September 16, 2024
Summary
Artificial Intelligence (AI) offers significant potential in interventional cardiology, improving diagnostics and treatments for coronary heart disease. This overview explores AI
Area of Science:
- Medical Technology
- Cardiology
- Artificial Intelligence
Background:
- Artificial Intelligence (AI) is increasingly integrated into daily life and medicine.
- AI demonstrates proven effectiveness across various scientific and technological fields.
- Interventional cardiology extensively utilizes visualization techniques for diagnosis and treatment.
Purpose of the Study:
- To provide an overview of AI research in interventional cardiology.
- To discuss practical applications of AI in this field.
- To identify challenges hindering the widespread adoption of AI in interventional cardiology.
Main Methods:
- Review of current AI research in interventional cardiology.
- Analysis of practical AI applications in patient care.
- Identification of barriers to AI implementation.
Main Results:
- AI technologies are being actively researched and implemented in interventional cardiology.
- AI shows potential for cost reduction and improved patient outcomes.
- Specific challenges impede the broad use of neural networks in clinical practice.
Conclusions:
- AI holds considerable promise for advancing interventional cardiology.
- Further research and development are needed to overcome implementation hurdles.
- Widespread adoption of AI can enhance the diagnosis and treatment of coronary heart disease.
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