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Artificial Intelligence in Sports Cardiology: Advancing Cardiovascular Screening and Diagnosis
Khalil Jalkh1, Adnan AlJaroudi2, Wael Aljaroudi1
1Cardiology, Medical College of Georgia, Augusta University, Augusta, USA.
Artificial intelligence (AI) can enhance cardiovascular screening in athletes by improving the detection of heart conditions. AI tools show promise in identifying diseases through electrocardiography and echocardiography, complementing clinician expertise for better risk stratification.
Area of Science:
- Sports Cardiology
- Cardiovascular Disease
- Artificial Intelligence
Background:
- Sudden cardiac death in athletes is a concern, often caused by underlying heart conditions that may be asymptomatic.
- Current screening methods have limitations, including variability and difficulty distinguishing normal athletic adaptations from disease.
Purpose of the Study:
- To review current evidence on artificial intelligence (AI) applications in cardiovascular screening for athletes.
- To explore AI's role in electrocardiography, digital auscultation, and echocardiography for athlete screening.
Main Methods:
- Review of existing literature on AI applications in sports cardiology.
- Focus on AI's performance in analyzing electrocardiograms, digital auscultation, and echocardiograms.
- Discussion of AI's potential to improve detection of various cardiac conditions.
Main Results:
- AI-enhanced electrocardiography shows improved sensitivity for conditions like left ventricular hypertrophy and channelopathies.
- AI-assisted digital auscultation aids in differentiating pathological murmurs.
- AI in echocardiography improves image acquisition and analysis efficiency and consistency.
Conclusions:
- AI offers a promising adjunct to traditional screening methods for detecting occult cardiac disease in athletes.
- AI integration can enhance cardiovascular risk stratification, but limitations like data specificity and validation need addressing.
- AI should complement, not replace, clinician judgment in athlete cardiovascular screening.
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