rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Intelligence-based cardiology and cardiac surgery
    sub title: artificial intelligence and human cognition in cardiovascular medicine
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    date issued: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (260 pages) : illustrations (colour).
  abstract: Intelligence-Based Cardiology and Cardiac Surgery: Artificial Intelligence and Human Cognition in Cardiovascular Medicine provides an especially timely multidisciplinary and comprehensive survey of artificial intelligence concepts and methodologies. It includes real-life applications in adult and pediatric cardiovascular medicine, spanning the life span from fetus to adult. Led by a senior cardiologist-data scientist and supported by renowned data scientists and cardiac clinicians with an ardent passion for artificial intelligence in cardiovascular medicine, the book provides a clinical interface between the medical and data science domains that is symmetric and realistic. The content consists of basic concepts and applications of artificial intelligence and human cognition in cardiology and cardiac surgery. This portfolio ranges from big data to machine and deep learning, as well as cognitive computing and natural language processing in cardiac disease states such as heart failure, hypertension, and pediatric cardiac care. Artificial intelligence tools are described from the intensive care unit setting to other venues, such as the outpatient clinic, catheterization laboratory, and operating room. Future applications in related areas, such as large language models, extended reality, and digital twins, are also discussed. The book encompasses more than 50 chapters written by cardiologists or cardiac surgeons. Each chapter provides sections on the current state of the art and future directions and concludes with major takeaways. A robust compendium of practical resources, such as a comprehensive glossary, best references, and other resources, is also included. The book narrows the knowledge and expertise chasm between data scientists, cardiologists, and cardiac surgeons, inspires these clinicians to embrace artificial intelligence methodologies, and educates data scientists about the cardiac ecosystem to create a transformational paradigm for cardiovascular healthcare…
  note: edited by Anthony Chang.
  subject:
    topic: Cardiology
    topic: Data processing
  subject:
    topic: Heart
    topic: Surgery
    topic: Data processing
  subject:
    topic: Artificial intelligence
    topic: Medical applications
  subject:
    topic: Cardiologie
    topic: Informatique
  subject:
    topic: Cœur
    topic: Chirurgie
    topic: Informatique
  subject:
    topic: Intelligence artificielle
    topic: Applications en médecine
  subject:
    topic: Artificial intelligence
    topic: Medical applications
  subject:
    topic: Cardiology
    topic: Data processing
  classification: RC683.5.D36
  classification: 616.120028563
  related item:
    title info:
      title: Intelligence-based medicine
  related item:
    title info:
      title: Intelligence-based cardiology and cardiac surgery
    origin info:
      publisher: Amsterdam : Academic Press, 2023
    identifier: (OCoLC)1381898151
  identifier: 9780323906296
  identifier: 032390629X
  identifier: 9780323905343
  identifier: 032390534X
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: OPELS
    record creation date: 230914
    record change date: 20260327174923.8
    record identifier: in00005772226
    language of cataloging:
      language term: eng