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Computational modelling for personalized transcatheter aortic valve replacement planning: a systematic review of complications and decision support.

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Title: Computational modelling for personalized transcatheter aortic valve replacement planning: a systematic review of complications and decision support.
Authors: Rauseo E; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom.; Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom.; Digital Environment Research Institute, Queen Mary University of London, London, United Kingdom., Bevis L; Digital Environment Research Institute, Queen Mary University of London, London, United Kingdom.; School of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom., Chen X; Digital Environment Research Institute, Queen Mary University of London, London, United Kingdom.; Department of Medicine, University of Cambridge, Cambridge, United Kingdom., Petersen SE; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom.; Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom.; NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom., Mathur A; Barts Heart Centre, Barts Health NHS Trust, London, United Kingdom.; NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom.; Centre for Cardiovascular Medicine and Devices, William Harvey Research Institute, Queen Mary University of London, London, United Kingdom., Slabaugh GG; William Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom.; Digital Environment Research Institute, Queen Mary University of London, London, United Kingdom.; School of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom.; The British Library, John Dodson House, Alan Turing Institute, London, United Kingdom., Roney CH; Digital Environment Research Institute, Queen Mary University of London, London, United Kingdom.; School of Engineering and Materials Science, Queen Mary University of London, London, United Kingdom.
Source: Frontiers in digital health [Front Digit Health] 2026 Jun 04; Vol. 8, pp. 1832926. Date of Electronic Publication: 2026 Jun 04 (Print Publication: 2026).
Publication Type: Journal Article; Review
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101771889 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-253X (Electronic) Linking ISSN: 2673253X NLM ISO Abbreviation: Front Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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        Value: 10.3389/fdgth.2026.1832926
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              Text: 2026 Jun 04
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