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Peer-reviewedCC BYCJC open

Machine Learning for Predicting Mortality Following Transcatheter Aortic Valve Replacement: A Scoping Review of Current Literature

7 affiliations
  1. 1Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
  2. 2Faculty of Health Sciences, Queen’s University, Kingston, Ontario, Canada
  3. 3Department of Opthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada
  4. 4Department of Emergency Medicine, McMaster University, Hamilton, Ontario, Canada
  5. 5The School of Computing, Queen’s University, Kingston, Ontario, Canada
  6. 6Computer and Data Sciences, Case Western Reserve University, Cleveland, Ohio, USA
  7. 7Harrington Heart and Vascular Institute, Cardiac Surgery Department, University Hospitals, Cleveland, Ohio, USA

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BibTeX
@article{elsherbini2026machine,
  title = {{Machine Learning for Predicting Mortality Following Transcatheter Aortic Valve Replacement: A Scoping Review of Current Literature}},
  author = {Adham H. Elsherbini and Ibrahim Ahmed Cherif and Alisha Ahmed and Ali Haider and Ahmad Alaraki and Mohamed R. Gemae and Farzan Ansari and Ahmed A. Harby and Vipin Chaudhary and Yasir Abu-Omar and Mohammad El-Diasty},
  journal = {CJC open},
  year = {2026},
  month = jul,
  url = {https://europepmc.org/article/PMC/PMC13654375},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Machine Learning for Predicting Mortality Following Transcatheter Aortic Valve Replacement: A Scoping Review of Current Literature
AU  - Adham H. Elsherbini
AU  - Ibrahim Ahmed Cherif
AU  - Alisha Ahmed
AU  - Ali Haider
AU  - Ahmad Alaraki
AU  - Mohamed R. Gemae
AU  - Farzan Ansari
AU  - Ahmed A. Harby
AU  - Vipin Chaudhary
AU  - Yasir Abu-Omar
AU  - Mohammad El-Diasty
PY  - 2026
DA  - 2026/07/23
JO  - CJC open
UR  - https://europepmc.org/article/PMC/PMC13654375
SN  - 2589-790X
ER  -