Gespeichert in:
Weitere beteiligte Personen: | , , , |
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Format: | Elektronisch E-Book |
Sprache: | Englisch |
Veröffentlicht: |
Hoboknen, NJ Beverly, MA
Wiley
2025
Hoboknen, NJ Beverly, MA Scrivener 2025 |
Schriftenreihe: | Machine Learning in Biomedical Science and Healthcare Informatics
|
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/9781394305469/?ar |
Zusammenfassung: | The book explores the fundamental principles and transformative advancements in cutting-edge algorithmic technologies, detailing their application and impact on revolutionizing healthcare. This book provides an in-depth account of how technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) are reshaping healthcare, transitioning from traditional diagnostic and treatment approaches to data-driven solutions that improve predictive accuracy and patient outcomes. The text also addresses the challenges and considerations associated with adopting these technologies, including ethical implications, data security concerns, and the need for human-centered approaches in algorithmic medicine. After introducing digital twin technology and its potential to enhance healthcare delivery, the book examines the broader effects of digital technology on the healthcare system. Subsequent chapters explore topics such as innovations in medical imaging, predictive analytics for improved patient outcomes, and deep learning algorithms for brain tumor detection. Other topics include generative adversarial networks (GANs), convolutional neural networks (CNNs), smart wearables for remote patient monitoring, effective IoT solutions, telemedicine advancements, and blockchain security for healthcare systems. The integration of biometric systems driven by AI, securing cyber-physical systems in healthcare, and digitizing wellness through electronic health records (EHRs) and electronic medical records (EMRs) are also discussed. The book concludes with an extensive case study comparing the impacts of various healthcare applications, offering insights and encouraging further research and innovation in this dynamic field. Audience This book is suitable for academicians and professionals in health informatics, bioinformatics, biomedical science and engineering, artificial intelligence, as well as clinicians, IT specialists, and policymakers in healthcare. |
Beschreibung: | Online resource; title from PDF title page (John Wiley, viewed February 18, 2025) |
Umfang: | 1 Online-Ressource (480 pages) |
ISBN: | 9781394305490 1394305494 9781394305469 |
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illustrated | Not Illustrated |
indexdate | 2025-06-25T12:16:06Z |
institution | BVB |
isbn | 9781394305490 1394305494 9781394305469 |
language | English |
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publisher | Wiley Scrivener |
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series2 | Machine Learning in Biomedical Science and Healthcare Informatics |
spelling | The impact of algorithmic technologies on healthcare edited by Parul Dubey, Mangala Madankar, Pushkar Dubey, Bui Thanh Hung Hoboknen, NJ Beverly, MA Wiley 2025 Hoboknen, NJ Beverly, MA Scrivener 2025 1 Online-Ressource (480 pages) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Machine Learning in Biomedical Science and Healthcare Informatics Online resource; title from PDF title page (John Wiley, viewed February 18, 2025) The book explores the fundamental principles and transformative advancements in cutting-edge algorithmic technologies, detailing their application and impact on revolutionizing healthcare. This book provides an in-depth account of how technologies such as artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) are reshaping healthcare, transitioning from traditional diagnostic and treatment approaches to data-driven solutions that improve predictive accuracy and patient outcomes. The text also addresses the challenges and considerations associated with adopting these technologies, including ethical implications, data security concerns, and the need for human-centered approaches in algorithmic medicine. After introducing digital twin technology and its potential to enhance healthcare delivery, the book examines the broader effects of digital technology on the healthcare system. Subsequent chapters explore topics such as innovations in medical imaging, predictive analytics for improved patient outcomes, and deep learning algorithms for brain tumor detection. Other topics include generative adversarial networks (GANs), convolutional neural networks (CNNs), smart wearables for remote patient monitoring, effective IoT solutions, telemedicine advancements, and blockchain security for healthcare systems. The integration of biometric systems driven by AI, securing cyber-physical systems in healthcare, and digitizing wellness through electronic health records (EHRs) and electronic medical records (EMRs) are also discussed. The book concludes with an extensive case study comparing the impacts of various healthcare applications, offering insights and encouraging further research and innovation in this dynamic field. Audience This book is suitable for academicians and professionals in health informatics, bioinformatics, biomedical science and engineering, artificial intelligence, as well as clinicians, IT specialists, and policymakers in healthcare. Artificial intelligence Medical applications Dubey, Parul HerausgeberIn edt Madankar, Mangala HerausgeberIn edt Dubey, Pushkar HerausgeberIn edt Hung, Bui Thanh HerausgeberIn edt |
spellingShingle | The impact of algorithmic technologies on healthcare Artificial intelligence Medical applications |
title | The impact of algorithmic technologies on healthcare |
title_auth | The impact of algorithmic technologies on healthcare |
title_exact_search | The impact of algorithmic technologies on healthcare |
title_full | The impact of algorithmic technologies on healthcare edited by Parul Dubey, Mangala Madankar, Pushkar Dubey, Bui Thanh Hung |
title_fullStr | The impact of algorithmic technologies on healthcare edited by Parul Dubey, Mangala Madankar, Pushkar Dubey, Bui Thanh Hung |
title_full_unstemmed | The impact of algorithmic technologies on healthcare edited by Parul Dubey, Mangala Madankar, Pushkar Dubey, Bui Thanh Hung |
title_short | The impact of algorithmic technologies on healthcare |
title_sort | impact of algorithmic technologies on healthcare |
topic | Artificial intelligence Medical applications |
topic_facet | Artificial intelligence Medical applications |
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