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Future innovations in the convergenc...
~
Yu, Keping, (1988-)
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Future innovations in the convergence of AI and Internet of things in medicine
Record Type:
Electronic resources : Monograph/item
Title/Author:
Future innovations in the convergence of AI and Internet of things in medicine/ Velliangiri Sarveshwaran, Karthikeyan Periyaswami, Keping Yu, editors.
remainder title:
Future innovations in the convergence of artificial intelligence and Internet of things in medicine
other author:
Yu, Keping,
Published:
Hershey, Pennsylvania :IGI Global Scientific Publishing, : 2025.,
Description:
1 online resource (xxiii, 508 p.) :ill.
[NT 15003449]:
Preface -- Chapter 1. Pioneering Healthcare With AIoT: Case Studies and Breakthroughs -- Chapter 2. Smart and Portable IoT Medication Management and Reminder Systems -- Chapter 3. SmartMeds Hub: Bridging Generations in Healthcare --Chapter 4. A Study on IoT-Enabled Smart Bed With Brain-Computer Interface for Elderly and Paralyzed Individuals -- Chapter 5. Multimodal IoT-Based Autonomous Emergency and Response Care for Healthcare Ecosystems -- Chapter 6. CNN-Based Approach for Brain Tumor Detection and Severity Prediction -- Chapter 7. Lung Cancer Detection With AIoT Systems: A Revolutionary Approach -- Chapter 8. Transforming Healthcare With AIoT: The Future of Diagnostics and Patient Care -- Chapter 9.Innovations of Metaverse Technology in Healthcare: A Study on Melanoma Skin Cancer -- Chapter 10. AvD Ayur Vriksha Diagnostics for Precise Identification of Medicinal Leaves in Ayurveda Using Deep Learning Techniques -- Chapter 11. Integrating Machine Learning, Artificial Intelligence, Deep Learning, and IoT in Remote Patient Monitoring -- Chapter 12. A Deep Learning Algorithm for Multiple Disease Prediction Using the IoT and Its Implications -- Chapter 13. Revolutionizing Healthcare: The Synergy of Computer Vision and IoT Integration -- Chapter 14. Transformative AIoT Applications in Medicine: Real-World Case Studies -- Chapter 15. Vision Assist for the Visually Impaired -- Compilation of References -- Aboutthe Contributors -- Index.
Subject:
Artificial intelligence - Medical applications. -
Online resource:
https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-7703-1
ISBN:
9798369377055
Future innovations in the convergence of AI and Internet of things in medicine
Future innovations in the convergence of AI and Internet of things in medicine
[electronic resource] /Future innovations in the convergence of artificial intelligence and Internet of things in medicineVelliangiri Sarveshwaran, Karthikeyan Periyaswami, Keping Yu, editors. - Hershey, Pennsylvania :IGI Global Scientific Publishing,2025. - 1 online resource (xxiii, 508 p.) :ill.
Includes bibliographic references and index.
Preface -- Chapter 1. Pioneering Healthcare With AIoT: Case Studies and Breakthroughs -- Chapter 2. Smart and Portable IoT Medication Management and Reminder Systems -- Chapter 3. SmartMeds Hub: Bridging Generations in Healthcare --Chapter 4. A Study on IoT-Enabled Smart Bed With Brain-Computer Interface for Elderly and Paralyzed Individuals -- Chapter 5. Multimodal IoT-Based Autonomous Emergency and Response Care for Healthcare Ecosystems -- Chapter 6. CNN-Based Approach for Brain Tumor Detection and Severity Prediction -- Chapter 7. Lung Cancer Detection With AIoT Systems: A Revolutionary Approach -- Chapter 8. Transforming Healthcare With AIoT: The Future of Diagnostics and Patient Care -- Chapter 9.Innovations of Metaverse Technology in Healthcare: A Study on Melanoma Skin Cancer -- Chapter 10. AvD Ayur Vriksha Diagnostics for Precise Identification of Medicinal Leaves in Ayurveda Using Deep Learning Techniques -- Chapter 11. Integrating Machine Learning, Artificial Intelligence, Deep Learning, and IoT in Remote Patient Monitoring -- Chapter 12. A Deep Learning Algorithm for Multiple Disease Prediction Using the IoT and Its Implications -- Chapter 13. Revolutionizing Healthcare: The Synergy of Computer Vision and IoT Integration -- Chapter 14. Transformative AIoT Applications in Medicine: Real-World Case Studies -- Chapter 15. Vision Assist for the Visually Impaired -- Compilation of References -- Aboutthe Contributors -- Index.
"The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) has ushered in a new era of innovation, particularly within the field of medicine. This convergence, often referred to as the AIoT in healthcare, promises to revolutionize patient care, diagnostics, and treatment by enabling smarter, more efficient, and personalized medical solutions"--
Mode of access: World Wide Web.
ISBN: 9798369377055Subjects--Topical Terms:
900591
Artificial intelligence
--Medical applications.Subjects--Index Terms:
Artificial Intelligence (AI)Index Terms--Genre/Form:
542853
Electronic books.
LC Class. No.: R859.7.A78 / F87 2025eb
Dewey Class. No.: 610.285
National Library of Medicine Call No.: WM 26.55.A7 / F87 2025eb
Future innovations in the convergence of AI and Internet of things in medicine
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Velliangiri Sarveshwaran, Karthikeyan Periyaswami, Keping Yu, editors.
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Preface -- Chapter 1. Pioneering Healthcare With AIoT: Case Studies and Breakthroughs -- Chapter 2. Smart and Portable IoT Medication Management and Reminder Systems -- Chapter 3. SmartMeds Hub: Bridging Generations in Healthcare --Chapter 4. A Study on IoT-Enabled Smart Bed With Brain-Computer Interface for Elderly and Paralyzed Individuals -- Chapter 5. Multimodal IoT-Based Autonomous Emergency and Response Care for Healthcare Ecosystems -- Chapter 6. CNN-Based Approach for Brain Tumor Detection and Severity Prediction -- Chapter 7. Lung Cancer Detection With AIoT Systems: A Revolutionary Approach -- Chapter 8. Transforming Healthcare With AIoT: The Future of Diagnostics and Patient Care -- Chapter 9.Innovations of Metaverse Technology in Healthcare: A Study on Melanoma Skin Cancer -- Chapter 10. AvD Ayur Vriksha Diagnostics for Precise Identification of Medicinal Leaves in Ayurveda Using Deep Learning Techniques -- Chapter 11. Integrating Machine Learning, Artificial Intelligence, Deep Learning, and IoT in Remote Patient Monitoring -- Chapter 12. A Deep Learning Algorithm for Multiple Disease Prediction Using the IoT and Its Implications -- Chapter 13. Revolutionizing Healthcare: The Synergy of Computer Vision and IoT Integration -- Chapter 14. Transformative AIoT Applications in Medicine: Real-World Case Studies -- Chapter 15. Vision Assist for the Visually Impaired -- Compilation of References -- Aboutthe Contributors -- Index.
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Medical applications.
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Artificial Intelligence (AI)
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Automated Pill Dispensing Systems.
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Autonomous Emergency and Response Care.
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Cybersecurity.
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Deep Learning.
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Elderly and Paralyzed Individuals.
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Ethical Challenges.
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Healthcare Ecosystems.
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Internet of Things (IoT) Integration.
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Machine Learning.
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Medical Imaging.
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Medication Reminder Systems.
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Mental Health Care.
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Metaverse Technology.
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Patient Centric Blockchain Solutions.
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Predictive Analytics in Patient Care.
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Remote Patient Monitoring.
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Robotic-Assisted Surgery.
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Yu, Keping,
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Periyaswami, Karthikeyan,
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1982-
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Sarveshwaran, Velliangiri,
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IGI Global.
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Print version:
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https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-7703-1
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電子資源
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EB R859.7.A78 F87 2025eb
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