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: Developing the digital lung
    sub title: from first lung CT to clinical AI : the development of quantitative x-ray computed tomography of diffuse lung disease through the use of artificial intelligence
  name:
    name part: Newell, John D.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: pau
    date issued: 2024
    copyright date: 2024
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource : illustrations (chiefly color)
  abstract: "Reflecting recent major advances in the field of artificial intelligence, Developing the Digital Lung, From First Lung CT to Clinical AI, by Dr. John Newell, is your go-to reference for all aspects of applied artificial intelligence in lung disease development, including application to clinical medicine. It provides a unique overview of the field, beginning with a review of the origins of artificial intelligence in the mid-1970s and progressing to its application to clinical medicine in the early 2020s. Organized based on the four stages of development, this practical, easy-to-use resource helps you effectively apply artificial intelligences to lung imaging"-- publisher's description.
  table of contents: Chapter 1: -- Introduction to Lung CT AI -- Chapter 2: Three-Dimensional (3D) Digital Images of the Lung Using X-ray Computed Tomography -- Chapter 3: X-ray CT Scanning Protocols for Lung CT AI Applications -- Chapter 4: Quantitative Assessment of Lung Nodule Size, Shape, and Malignant Potential Using Both Reactive and Limited-Memory Lung CT AI -- Chapter 5: Using Reactive Machine AI to Derive Quantitative Lung CT Metrics of COPD, ILD, and COVID-19 Pneumonia -- Chapter 6: Using Reactive Machine AI and Dynamic Changes in Lung Structure to Derive Functional Quantitative Lung CT Metrics of COPD, ILD, and Asthma -- Chapter 7: Using Limited Memory Lung CT AI to Derive Advanced Quantitative CT Lung Metrics of COPD, ILD, and COVID-19 Pneumonia -- Chapter 8: Lung CT AI Enables Advanced Computer Modeling of Lung Physiome Structure and Function -- Chapter 9: Adoption of Lung CT AI Into Clinical Medicine -- Index
  target audience: general
  note: John D. Newell.
  note: Includes bibliographical references.
  subject:
    topic: Lungs
    topic: Diseases
    topic: Imaging
  subject:
    topic: Artificial intelligence
    topic: Medical applications
  subject:
    topic: Artificial intelligence
  subject:
    topic: Lungs
    topic: Diseases
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Lung Diseases
  subject:
    topic: Lung
    topic: diagnostic imaging
  subject:
    topic: Tomography, X-Ray Computed
  subject:
    topic: Poumons
    topic: Maladies
  subject:
    topic: Intelligence artificielle
    topic: Applications en médecine
  subject:
    topic: Intelligence artificielle
  subject:
    topic: Tomodensitométrie
  subject:
    topic: artificial intelligence
  subject:
    topic: Artificial intelligence
    topic: Medical applications
  classification: RC756
  classification: 616.2004754
  classification: WF 600
  related item:
    title info:
      title: DEVELOPING THE DIGITAL LUNG
    name:
      name part: NEWELL, JOHN D.
    origin info:
      publisher: [S.l.] : ELSEVIER - HEALTH SCIENCE, 2023
    identifier: (OCoLC)1336953699
  identifier: 0323795021
  identifier: 9780323795029
  identifier: 9780323795012
  identifier: 0323795013
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: UKAHL
    record creation date: 220722
    record change date: 20260327173723.9
    record identifier: in00005771016
    language of cataloging:
      language term: eng