eBook
View in EDS

Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry

Bibliographic Details
Title: Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry
Description: Healthcare and pharmaceuticals are rapidly advancing with technological innovations, and the lack of understanding of AI algorithms poses a significant challenge in these fields. The need for more transparency in AI decision-making processes raises concerns about accountability, ethical implications, and regulatory compliance. As stakeholders in these critical sectors seek clarity and understanding, Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry provides a reliable resource to discover new solutions. This book serves as a comprehensive guide, unraveling the complexities of explainable artificial intelligence (XAI) and its pivotal role in transforming healthcare and pharmaceutical practices. Demystifying AI algorithms and revealing their decision-making mechanisms equips readers with the foundational knowledge needed to confidently navigate AI integration in these domains. From healthcare professionals to policymakers, its insights cater to a diverse audience, fostering cross-disciplinary collaboration and facilitating informed decision-making. Through real-world case studies, ethical explorations, and regulatory insights, this book addresses the challenges posed by unclear AI processes and provides actionable solutions. Promoting transparency, fairness, and accountability empowers stakeholders to harness the full potential of XAI while mitigating risks and ensuring compliance. This book emerges as a vital resource, guiding the journey towards responsible and impactful AI adoption in healthcare and pharmaceutical settings.
Authors: Veena Grover, Balamurugan Balusamy, Nallakaruppan M.K, Vijay Anand, Mariofanna Milanova
Resource Type: eBook.
Subjects: Artificial intelligence--Medical applications, Drug development--Data processing
Categories: MEDICAL / Allied Health Services / Medical Technology, COMPUTERS / Artificial Intelligence / General, BUSINESS & ECONOMICS / Industries / Pharmaceutical & Biotechnology
Database: eBook Index
FullText Text:
  Availability: 0
Header DbId: edsebk
DbLabel: eBook Index
An: 3945822
RelevancyScore: 975
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 974.776672363281
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Healthcare and pharmaceuticals are rapidly advancing with technological innovations, and the lack of understanding of AI algorithms poses a significant challenge in these fields. The need for more transparency in AI decision-making processes raises concerns about accountability, ethical implications, and regulatory compliance. As stakeholders in these critical sectors seek clarity and understanding, Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry provides a reliable resource to discover new solutions. This book serves as a comprehensive guide, unraveling the complexities of explainable artificial intelligence (XAI) and its pivotal role in transforming healthcare and pharmaceutical practices. Demystifying AI algorithms and revealing their decision-making mechanisms equips readers with the foundational knowledge needed to confidently navigate AI integration in these domains. From healthcare professionals to policymakers, its insights cater to a diverse audience, fostering cross-disciplinary collaboration and facilitating informed decision-making. Through real-world case studies, ethical explorations, and regulatory insights, this book addresses the challenges posed by unclear AI processes and provides actionable solutions. Promoting transparency, fairness, and accountability empowers stakeholders to harness the full potential of XAI while mitigating risks and ensuring compliance. This book emerges as a vital resource, guiding the journey towards responsible and impactful AI adoption in healthcare and pharmaceutical settings.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Veena+Grover%22">Veena Grover</searchLink><br /><searchLink fieldCode="AR" term="%22Balamurugan+Balusamy%22">Balamurugan Balusamy</searchLink><br /><searchLink fieldCode="AR" term="%22Nallakaruppan+M%2EK%22">Nallakaruppan M.K</searchLink><br /><searchLink fieldCode="AR" term="%22Vijay+Anand%22">Vijay Anand</searchLink><br /><searchLink fieldCode="AR" term="%22Mariofanna+Milanova%22">Mariofanna Milanova</searchLink>
– Name: TypePub
  Label: Resource Type
  Group: TypPub
  Data: eBook.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence--Medical+applications%22">Artificial intelligence--Medical applications</searchLink><br /><searchLink fieldCode="DE" term="%22Drug+development--Data+processing%22">Drug development--Data processing</searchLink>
– Name: SubjectBISAC
  Label: Categories
  Group: Su
  Data: <searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Allied+Health+Services+%2F+Medical+Technology%22">MEDICAL / Allied Health Services / Medical Technology</searchLink><br /><searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Artificial+Intelligence+%2F+General%22">COMPUTERS / Artificial Intelligence / General</searchLink><br /><searchLink fieldCode="ZK" term="%22BUSINESS+%26+ECONOMICS+%2F+Industries+%2F+Pharmaceutical+%26+Biotechnology%22">BUSINESS & ECONOMICS / Industries / Pharmaceutical & Biotechnology</searchLink>
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=3945822
RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 610.285
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Artificial intelligence--Medical applications
        Type: general
      – SubjectFull: Drug development--Data processing
        Type: general
    Titles:
      – TitleFull: Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Veena Grover
      – PersonEntity:
          Name:
            NameFull: Balamurugan Balusamy
      – PersonEntity:
          Name:
            NameFull: Nallakaruppan M.K
      – PersonEntity:
          Name:
            NameFull: Vijay Anand
      – PersonEntity:
          Name:
            NameFull: Mariofanna Milanova
      – PersonEntity:
          Name:
            NameFull: Veena Grover
      – PersonEntity:
          Name:
            NameFull: Balamurugan Balusamy
      – PersonEntity:
          Name:
            NameFull: Nallakaruppan M.K
      – PersonEntity:
          Name:
            NameFull: Vijay Anand
      – PersonEntity:
          Name:
            NameFull: Mariofanna Milanova
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
            – D: 09
              M: 10
              Type: profile
              Y: 2024
          Identifiers:
            – Type: isbn-print
              Value: 9798369354681
            – Type: isbn-electronic
              Value: 9798369354704
            – Type: isbn-electronic
              Value: 9798369354711
          Titles:
            – TitleFull: Analyzing Explainable AI in Healthcare and the Pharmaceutical Industry
              Type: main
ResultId 1