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Responsible AI for digital health and medical analytics
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Responsible AI for digital health and medical analytics/ Ben Othman Soufiene, Chinmay Chakraborty, editors.
remainder title:
Responsible artificial intelligence for digital health and medical analytics
other author:
Chakraborty, Chinmay.
Published:
Hershey, Pennsylvania :IGI Global, : 2025.,
Description:
1 online resource (xxxi, 583 p.) :ill. (some col.) :
Subject:
Medical informatics. -
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-6294-5
ISBN:
9798369362952
Responsible AI for digital health and medical analytics
Responsible AI for digital health and medical analytics
[electronic resource] /Responsible artificial intelligence for digital health and medical analyticsBen Othman Soufiene, Chinmay Chakraborty, editors. - Hershey, Pennsylvania :IGI Global,2025. - 1 online resource (xxxi, 583 p.) :ill. (some col.) - Advances in healthcare information systems and administration (AHISA) book series. - Advances in healthcare information systems and administration (AHISA) book series..
Includes bibliographical references and index.
Preface -- Chapter 1. Responsible AI Implementation in Healthcare Organizations -- Chapter 2. Transforming Cancer Diagnosis: Leveraging AI and Medical Analytics for Enhanced Clinical Decision Making -- Chapter 3. Machine Learning-Driven Internet of Medical Things (ML-IoMT)-Based Healthcare Monitoring System -- Chapter 4. Making Clinical Decisions to Treat Patients by Using Health Information Technology -- Chapter 5. Advancing Healthcare Through Artificial Intelligence: Applications, Challenges, and Future Directions -- Chapter 6. Personalized Medicine and Genomic Analysis Section -- Chapter 7. Artificial Intelligence (AI) in the Digital Healthcare and Medical Industry: Projecting Vision for Governance and Regulations -- Chapter 8. Artificial Intelligence in Cataract Diagnosis and Management With Its Future Directions -- Chapter 9. Cruising Deep Convolution Neural Networks (DCNN) and Internet of Medical Things (IoMT) Fostering Smart Healthcare: Runway Towards Quality of Life and Wellbeing -- Chapter 10. Ethical Considerations for Implementing AI-Based Solutions in Digital Health and Medical Analytics -- Chapter 11. Ethical Decision-Making in Artificial Intelligence: Frameworks, Challenges, and Future Directions -- Chapter 12. Implementing Responsible AI In Healthcare Organizations: Strategies, Challenges, and Best Practices -- Chapter 13. An IoT-Based Structure for Development Management Using Radio Frequency Identification System -- Chapter 14. Health Monitoring System In-Home Using IoT Technology: Model and Improvement -- Chapter 15. Artificial Intelligence and Machine Learning in Healthcare: Advancing Disease Diagnosis and Overcoming Challenges -- Chapter 16. Future Trends in Healthcare Through Artifical Intellegence -- Chapter 17. Future Trends in Healthcare AI Section -- Chapter 18. A Framework for Implementing Blockchain in Organic Food Certification -- Chapter 19. Revolutionizing Heart Disease Care With AI: Precision Medicine in Diagnosis, Prediction, and Treatment -- Compilation of References -- About the Contributors -- Index.
Responsible AI for Digital Health and Medical Analytics explores the transformative potential of AI while placing a crucial emphasis on responsible and ethical practices. It decodes complex medical analytics and examines patient privacy solutions to overcome ethical challenges. This book covers topics such as blockchain, medical diagnosis and prediction, and personalized medicine, and is a useful resource for healthcare professionals, policymakers, data scientists, computer engineers, academicians, and researchers.
Mode of access: World Wide Web.
ISBN: 9798369362952Subjects--Topical Terms:
583858
Medical informatics.
Subjects--Index Terms:
Artificial Intelligence.Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: R858.A2 / R47 2025eb
Dewey Class. No.: 610.285
National Library of Medicine Call No.: W 26.5 / .R47 2025eb
Responsible AI for digital health and medical analytics
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Responsible AI for digital health and medical analytics
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[electronic resource] /
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Ben Othman Soufiene, Chinmay Chakraborty, editors.
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Responsible artificial intelligence for digital health and medical analytics
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Hershey, Pennsylvania :
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IGI Global,
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2025.
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ill. (some col.)
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Advances in healthcare information systems and administration (AHISA) book series
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Includes bibliographical references and index.
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Preface -- Chapter 1. Responsible AI Implementation in Healthcare Organizations -- Chapter 2. Transforming Cancer Diagnosis: Leveraging AI and Medical Analytics for Enhanced Clinical Decision Making -- Chapter 3. Machine Learning-Driven Internet of Medical Things (ML-IoMT)-Based Healthcare Monitoring System -- Chapter 4. Making Clinical Decisions to Treat Patients by Using Health Information Technology -- Chapter 5. Advancing Healthcare Through Artificial Intelligence: Applications, Challenges, and Future Directions -- Chapter 6. Personalized Medicine and Genomic Analysis Section -- Chapter 7. Artificial Intelligence (AI) in the Digital Healthcare and Medical Industry: Projecting Vision for Governance and Regulations -- Chapter 8. Artificial Intelligence in Cataract Diagnosis and Management With Its Future Directions -- Chapter 9. Cruising Deep Convolution Neural Networks (DCNN) and Internet of Medical Things (IoMT) Fostering Smart Healthcare: Runway Towards Quality of Life and Wellbeing -- Chapter 10. Ethical Considerations for Implementing AI-Based Solutions in Digital Health and Medical Analytics -- Chapter 11. Ethical Decision-Making in Artificial Intelligence: Frameworks, Challenges, and Future Directions -- Chapter 12. Implementing Responsible AI In Healthcare Organizations: Strategies, Challenges, and Best Practices -- Chapter 13. An IoT-Based Structure for Development Management Using Radio Frequency Identification System -- Chapter 14. Health Monitoring System In-Home Using IoT Technology: Model and Improvement -- Chapter 15. Artificial Intelligence and Machine Learning in Healthcare: Advancing Disease Diagnosis and Overcoming Challenges -- Chapter 16. Future Trends in Healthcare Through Artifical Intellegence -- Chapter 17. Future Trends in Healthcare AI Section -- Chapter 18. A Framework for Implementing Blockchain in Organic Food Certification -- Chapter 19. Revolutionizing Heart Disease Care With AI: Precision Medicine in Diagnosis, Prediction, and Treatment -- Compilation of References -- About the Contributors -- Index.
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Responsible AI for Digital Health and Medical Analytics explores the transformative potential of AI while placing a crucial emphasis on responsible and ethical practices. It decodes complex medical analytics and examines patient privacy solutions to overcome ethical challenges. This book covers topics such as blockchain, medical diagnosis and prediction, and personalized medicine, and is a useful resource for healthcare professionals, policymakers, data scientists, computer engineers, academicians, and researchers.
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Deep Convolution Neural Networks.
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Medical Ethics.
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Chakraborty, Chinmay.
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Soufiene, Ben Othman.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-6294-5
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