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  <titleInfo>
    <title>Explainable artificial intelligence in medical imaging</title>
    <subTitle>fundamentals and applications</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Amjad Rehman Khan</namePart>
  </name>
  <name type="personal">
    <namePart>Tanzila Saba</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Boca Raton</placeTerm>
    </place>
    <publisher>CRC Press</publisher>
    <dateIssued>2025</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xviii, 250 p.</extent>
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  <abstract>Artificial intelligence (AI) in medicine is rising, and it holds tremendous potential for more accurate findings and novel solutions to complicated medical issues. Biomedical AI has potential, especially in the context of precision medicine, in the healthcare industrys next phase of development and advancement. Integration of AI research into precision medicine is the future; however, the human component must always be considered. Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications focuses on the most recent developments in applying artificial intelligence and data science to health care and medical imaging. Explainable artificial intelligence is a well-structured, adaptable technology that generates impartial, optimistic results. New healthcare applications for explicable artificial intelligence include clinical trial matching, continuous healthcare monitoring, probabilistic evolutions, and evidence-based mechanisms.</abstract>
  <note type="statement of responsibility">edited by Amjad Rehman Khan and Tanzila Saba</note>
  <note>Includes bibliographical references and index.</note>
  <note>Eng</note>
  <subject>
    <topic>Diagnostic Imaging</topic>
  </subject>
  <subject>
    <topic>Medical imaging</topic>
  </subject>
  <subject>
    <topic>Medical informatics</topic>
  </subject>
  <classification authority="ddc">006.336160754 EXP-</classification>
  <identifier type="isbn">9781032626338</identifier>
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    <recordCreationDate encoding="marc">260608</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260608122028.0</recordChangeDate>
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