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AI and IoT-based technologies for precision medicine

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI and IoT-based technologies for precision medicine/ Alex Khang, editor.
remainder title:	Artificial intelligence and Internet of things-based technologies for precision medicine
other author:	Khang, Alex.
Published:	Hershey, Pennsylvania :IGI Global, : 2023.,
Description:	1 online resource (562 p.)
[NT 15003449]:	Chapter 1. Medical data analytics: roles, challenges, and analytical tools -- Chapter 2. Incorporating artificial intelligence (AI) for precision medicine: a narrative analysis -- Chapter 3. AI-integrated technology for a secure andethical healthcare ecosystem -- Chapter 4. Application of machine learning for image processing in the healthcare sector -- Chapter 5. An improved hunter-prey optimizer-based densenet model for classification of hyper-spectral images -- Chapter 6. Detection of lung cancers from CT images using a deep CNN architecture in layers through ML -- Chapter 7. AI-enabled healthcare service: coding the future by decoding the complex problems -- Chapter 8. Applications of magnetic resonance imaging in stroke for multidimensional assessment -- Chapter 9. Applying machine learning for medical image processing -- Chapter 10. Early diagnosis of lung nodules with deep neural networks -- Chapter 11. Diabetic retinopathy detection using transfer learning -- Chapter 12. Energy-aware protocols and standards in IoT-enabled healthcare -- Chapter 13. Accuracy in teeth structures segmentation on MRI and CT images -- Chapter 14. Review on AI-based diagnosis of parkinson's disorders -- Chapter 15. Computer vision for nondestructive quality control of superconducting materials in medical practice -- Chapter 16. Nitty-gritty of deep reinforcement learning for the healthcare sector -- Chapter 17. AI and IoT applications in medical domain enhancing healthcare through technology integration -- Chapter 18. AI-aided data analytics tools and applications for the healthcare sector -- Chapter 19. Big data opportunities: lung image segmentation for a coronary artery diseases monitoring system -- Chapter 20. Virtual reality (VR) and augmented reality (AR) transforming medical applications -- Chapter 21. Internet of things (IoT) sensors and models of communications in the healthcare ecosystem -- Chapter 22. Internet of things (IoT)-based sensors wireless communication and infrastructure for precision medicine field -- Chapter 23. Reliability techniques in IoT environments for the healthcare industry -- Chapter 24. Review on healthcare quality using machine learning methods -- Chapter 25. Statistical modeling in healthcare: shaping the future of medical research and healthcare delivery -- Chapter 26. Applications of information management systems (IMSML) in medical laboratories -- Chapter 27. Mapping ai's impact on pharmaceuticals: a bibliometric analysis -- Chapter 28. Machine learning in precision medicine revolutionizing healthcare in the post-COVID-19 era.
Subject:	Precision medicine. -
Online resource:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-0876-9
ISBN:	9798369308776

AI and IoT-based technologies for precision medicine
AI and IoT-based technologies for precision medicine[electronic resource] /Artificial intelligence and Internet of things-based technologies for precision medicineAlex Khang, editor. - Hershey, Pennsylvania :IGI Global,2023. - 1 online resource (562 p.)

Includes bibliographical references and index.

Chapter 1. Medical data analytics: roles, challenges, and analytical tools -- Chapter 2. Incorporating artificial intelligence (AI) for precision medicine: a narrative analysis -- Chapter 3. AI-integrated technology for a secure andethical healthcare ecosystem -- Chapter 4. Application of machine learning for image processing in the healthcare sector -- Chapter 5. An improved hunter-prey optimizer-based densenet model for classification of hyper-spectral images -- Chapter 6. Detection of lung cancers from CT images using a deep CNN architecture in layers through ML -- Chapter 7. AI-enabled healthcare service: coding the future by decoding the complex problems -- Chapter 8. Applications of magnetic resonance imaging in stroke for multidimensional assessment -- Chapter 9. Applying machine learning for medical image processing -- Chapter 10. Early diagnosis of lung nodules with deep neural networks -- Chapter 11. Diabetic retinopathy detection using transfer learning -- Chapter 12. Energy-aware protocols and standards in IoT-enabled healthcare -- Chapter 13. Accuracy in teeth structures segmentation on MRI and CT images -- Chapter 14. Review on AI-based diagnosis of parkinson's disorders -- Chapter 15. Computer vision for nondestructive quality control of superconducting materials in medical practice -- Chapter 16. Nitty-gritty of deep reinforcement learning for the healthcare sector -- Chapter 17. AI and IoT applications in medical domain enhancing healthcare through technology integration -- Chapter 18. AI-aided data analytics tools and applications for the healthcare sector -- Chapter 19. Big data opportunities: lung image segmentation for a coronary artery diseases monitoring system -- Chapter 20. Virtual reality (VR) and augmented reality (AR) transforming medical applications -- Chapter 21. Internet of things (IoT) sensors and models of communications in the healthcare ecosystem -- Chapter 22. Internet of things (IoT)-based sensors wireless communication and infrastructure for precision medicine field -- Chapter 23. Reliability techniques in IoT environments for the healthcare industry -- Chapter 24. Review on healthcare quality using machine learning methods -- Chapter 25. Statistical modeling in healthcare: shaping the future of medical research and healthcare delivery -- Chapter 26. Applications of information management systems (IMSML) in medical laboratories -- Chapter 27. Mapping ai's impact on pharmaceuticals: a bibliometric analysis -- Chapter 28. Machine learning in precision medicine revolutionizing healthcare in the post-COVID-19 era.

"In the post-COVID-19 healthcare landscape, the demand for smart healthcare solutions and precision medicine systems has grown significantly. To address these challenges, the book AI and IoT-Based Technologies for Precision Medicineprovides a comprehensive resource for doctors, researchers, engineers, and students. By leveraging AI and IoT technologies, the book equips healthcare professionals with advanced tools and methodologies for predictive disease analysis, informed decision-making, and other aspects of precision medicine. This resource bridges the gap between theory and practice, exploring concepts like machine learning, deep learning, computer vision, AI-integrated applications, IoT-based technologies, healthcare data analytics, and biotechnology applications. Through this, the book empowers healthcare practitioners to pioneer innovative solutions that enhance efficiency, accuracy, and security in medical practices. AI and IoT-Based Technologies for Precision Medicine not only offer insights into the potential of AI-powered applications and IoT-equipped techniques in smart healthcare but also foster collaboration among healthcare scholars and professionals. This authoritative guide encourages knowledge sharing and collaboration to harness the transformative potential of AI and IoT, leading to revolutionary advancements in medical practices and healthcare services. With this book as a guide, readers can navigate the evolving landscape of high-tech medicine, taking confident steps toward a cutting-edge and precise medical ecosystem. "--

ISBN: 9798369308776Subjects--Topical Terms:

3661411
Precision medicine.
Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: R855.3 / .A33 2023e

Dewey Class. No.: 610.285

National Library of Medicine Call No.: WB 102.7 / .A33 2023e

AI and IoT-based technologies for precision medicine
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504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Medical data analytics: roles, challenges, and analytical tools -- Chapter 2. Incorporating artificial intelligence (AI) for precision medicine: a narrative analysis -- Chapter 3. AI-integrated technology for a secure andethical healthcare ecosystem -- Chapter 4. Application of machine learning for image processing in the healthcare sector -- Chapter 5. An improved hunter-prey optimizer-based densenet model for classification of hyper-spectral images -- Chapter 6. Detection of lung cancers from CT images using a deep CNN architecture in layers through ML -- Chapter 7. AI-enabled healthcare service: coding the future by decoding the complex problems -- Chapter 8. Applications of magnetic resonance imaging in stroke for multidimensional assessment -- Chapter 9. Applying machine learning for medical image processing -- Chapter 10. Early diagnosis of lung nodules with deep neural networks -- Chapter 11. Diabetic retinopathy detection using transfer learning -- Chapter 12. Energy-aware protocols and standards in IoT-enabled healthcare -- Chapter 13. Accuracy in teeth structures segmentation on MRI and CT images -- Chapter 14. Review on AI-based diagnosis of parkinson's disorders -- Chapter 15. Computer vision for nondestructive quality control of superconducting materials in medical practice -- Chapter 16. Nitty-gritty of deep reinforcement learning for the healthcare sector -- Chapter 17. AI and IoT applications in medical domain enhancing healthcare through technology integration -- Chapter 18. AI-aided data analytics tools and applications for the healthcare sector -- Chapter 19. Big data opportunities: lung image segmentation for a coronary artery diseases monitoring system -- Chapter 20. Virtual reality (VR) and augmented reality (AR) transforming medical applications -- Chapter 21. Internet of things (IoT) sensors and models of communications in the healthcare ecosystem -- Chapter 22. Internet of things (IoT)-based sensors wireless communication and infrastructure for precision medicine field -- Chapter 23. Reliability techniques in IoT environments for the healthcare industry -- Chapter 24. Review on healthcare quality using machine learning methods -- Chapter 25. Statistical modeling in healthcare: shaping the future of medical research and healthcare delivery -- Chapter 26. Applications of information management systems (IMSML) in medical laboratories -- Chapter 27. Mapping ai's impact on pharmaceuticals: a bibliometric analysis -- Chapter 28. Machine learning in precision medicine revolutionizing healthcare in the post-COVID-19 era.
520 3 $a "In the post-COVID-19 healthcare landscape, the demand for smart healthcare solutions and precision medicine systems has grown significantly. To address these challenges, the book AI and IoT-Based Technologies for Precision Medicineprovides a comprehensive resource for doctors, researchers, engineers, and students. By leveraging AI and IoT technologies, the book equips healthcare professionals with advanced tools and methodologies for predictive disease analysis, informed decision-making, and other aspects of precision medicine. This resource bridges the gap between theory and practice, exploring concepts like machine learning, deep learning, computer vision, AI-integrated applications, IoT-based technologies, healthcare data analytics, and biotechnology applications. Through this, the book empowers healthcare practitioners to pioneer innovative solutions that enhance efficiency, accuracy, and security in medical practices. AI and IoT-Based Technologies for Precision Medicine not only offer insights into the potential of AI-powered applications and IoT-equipped techniques in smart healthcare but also foster collaboration among healthcare scholars and professionals. This authoritative guide encourages knowledge sharing and collaboration to harness the transformative potential of AI and IoT, leading to revolutionary advancements in medical practices and healthcare services. With this book as a guide, readers can navigate the evolving landscape of high-tech medicine, taking confident steps toward a cutting-edge and precise medical ecosystem. "-- $c Provided by publisher.
650 0 $a Precision medicine. $3 3661411
650 0 $a Artificial intelligence. $3 516317
650 0 $a Internet of things. $3 2057703
650 0 $a Biomedical engineering. $3 535387
650 2 $a Precision Medicine $x methods. $3 3398023
650 2 $a Artificial Intelligence. $3 769149
650 2 $a Internet of Things. $3 3538511
650 2 $a Biomedical Technology. $3 836043
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Khang, Alex. $3 3730056
710 2 $a IGI Global. $3 1361470
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