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Data and databases for pediatric and adult congenital cardiac care

  • Jeffrey P. Jacobs
    ,
  • S. Ram Kumar
    ,
  • David M. Overman
    ,
  • ,
  • Joseph A. Dearani
  • University of Florida
    ,
  • University of Southern California
    ,
  • University of Nebraska Medical Center
    ,
  • Mayo Clinic Rochester, MN
    ,
  • Children's Hospitals and Clinics of Minnesota
    ,
Scholary Output:
Chapter in Book/Report/Conference proceeding
Chapter

Abstract

Multiple databases are available related to pediatric and congenital cardiac care. The ability to utilize databases to compare risk-stratified and risk-adjusted outcomes has facilitated improved survival after surgery over the past decade. This chapter reviews eight key aspects of databases for pediatric and congenital cardiac care and reflects on the role artificial intelligence (AI) may play in each.

Publication Information

Output type

Scholary Output:
Chapter in Book/Report/Conference proceeding
Chapter

Host publication Subtitle

Artificial Intelligence and Human Cognition in Cardiovascular Medicine

Original language

English (US)

Pages from-to (Number of pages)

Pages 135-144 (10 pages)

Publication milestones

  • Published - 01/01/2023

Publication status

Published - 01/01/2023

Publisher

Elsevier, Netherlands
9780323906296

ISBN (Electronic)

9780323905343

Publication IDs

  • Scopus: 85176863362

Host publication title

Intelligence-Based Cardiology and Cardiac Surgery

Publication metrics

Metrics

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1
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0.20
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4
Fractional count
0.80
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1
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1