Key result
Artificial intelligence may help improve patient selection, pre-procedural planning, procedure execution, and follow-up for transcatheter interventions in structural heart disease.
Why the study?
As transcatheter interventions for structural heart disease continue to grow, thorough clinical selection and efficient pathways from diagnosis to treatment and follow-up remain mandatory.
How can artificial intelligence improve the clinical pathway for transcatheter interventions in structural heart disease?
How can artificial intelligence improve the clinical pathway for transcatheter interventions in structural heart disease?
This review highlights the potential of artificial intelligence to optimize patient selection, procedural planning, and follow-up in structural heart disease interventions.
AI may streamline structural heart pathways; leaves open need for prospective validation before adoption.
With innovations in therapeutic technologies and changes in population demographics, transcatheter interventions for structural heart disease have become the preferred treatment and will keep growing. Yet, a thorough clinical selection and efficient pathway from diagnosis to treatment and follow-up are mandatory. In this review we reflect on how artificial intelligence may help to improve patient selection, pre-procedural planning, procedure execution and follow-up so to establish efficient and high quality health care in an increasing number of patients.
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Ribeiro et al. (2021) conducted a review in Structural heart disease. Artificial intelligence was evaluated. Artificial intelligence may help improve patient selection, pre-procedural planning, procedure execution, and follow-up for transcatheter interventions in structural heart disease.
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