The Lifelong Impact of Artificial Intelligence and Clinical Prediction Models on Patients With Tetralogy of Fallot

Jacquemyn, Xander; Kutty, Shelby; Manlhiot, Cedric

doi:10.1016/j.cjcpc.2023.08.005

CJC Pediatric and Congenital Heart Disease

2023

DOI: 10.1016/j.cjcpc.2023.08.005

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The Lifelong Impact of Artificial Intelligence and Clinical Prediction Models on Patients With Tetralogy of Fallot

Xander Jacquemyn,

Shelby Kutty,

Cedric Manlhiot

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Cited by 2 publications

References 85 publications

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Challenges and Opportunities for Patients With Tetralogy of Fallot Across the Lifespan

Dallaire,

Grewal,

Mawad

et al. 2023

CJC Pediatric and Congenital Heart Disease

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Challenges and Opportunities for Patients With Tetralogy of Fallot Across the Lifespan

Dallaire,

Grewal,

Mawad

et al. 2023

CJC Pediatric and Congenital Heart Disease

View full text Add to dashboard Cite

How Will Artificial Intelligence Shape the Future of Decision-Making in Congenital Heart Disease?

Pozza,

Zanella,

Castaldi

et al. 2024

JCM

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Improvements in medical technology have significantly changed the management of congenital heart disease (CHD), offering novel tools to predict outcomes and personalize follow-up care. By using sophisticated imaging modalities, computational models and machine learning algorithms, clinicians can experiment with unprecedented insights into the complex anatomy and physiology of CHD. These tools enable early identification of high-risk patients, thus allowing timely, tailored interventions and improved outcomes. Additionally, the integration of genetic testing offers valuable prognostic information, helping in risk stratification and treatment optimisation. The birth of telemedicine platforms and remote monitoring devices facilitates customised follow-up care, enhancing patient engagement and reducing healthcare disparities. Taking into consideration challenges and ethical issues, clinicians can make the most of the full potential of artificial intelligence (AI) to further refine prognostic models, personalize care and improve long-term outcomes for patients with CHD. This narrative review aims to provide a comprehensive illustration of how AI has been implemented as a new technological method for enhancing the management of CHD.

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The Lifelong Impact of Artificial Intelligence and Clinical Prediction Models on Patients With Tetralogy of Fallot

Cited by 2 publications

References 85 publications

Challenges and Opportunities for Patients With Tetralogy of Fallot Across the Lifespan

Challenges and Opportunities for Patients With Tetralogy of Fallot Across the Lifespan

How Will Artificial Intelligence Shape the Future of Decision-Making in Congenital Heart Disease?

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