| 000 -LEADER |
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| fixed length control field |
06930cam a2200553 i 4500 |
| 001 - CONTROL NUMBER |
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| control field |
14168471 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20260713095423.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION |
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m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr cnu|||unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
260708s2024 nju ob 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781394230884 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781394230914 |
| Qualifying information |
(electronic bk. : oBook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
1394230915 |
| Qualifying information |
(electronic bk. : oBook) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781394230891 |
| Qualifying information |
(electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
1394230893 |
| Qualifying information |
(electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781394230907 |
| Qualifying information |
(electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1394230907 |
| Qualifying information |
(electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| Cancelled/invalid ISBN |
9781394230884 |
| 024 7# - OTHER STANDARD IDENTIFIER |
|---|
| Standard number or code |
10.1002/9781394230914 |
| Source of number or code |
doi |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)1419992099 |
| 035 #9 - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCLCCM-Owned)1419992099 |
| 037 ## - SOURCE OF ACQUISITION |
|---|
| Stock number |
9781394230884 |
| Source of stock number/acquisition |
O'Reilly Media |
| 037 ## - SOURCE OF ACQUISITION |
|---|
| Stock number |
10950231 |
| Source of stock number/acquisition |
IEEE |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 049 ## - LOCAL HOLDINGS (OCLC) |
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| Holding library |
MAIN |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
RC930 |
| 072 #7 - SUBJECT CATEGORY CODE |
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| Subject category code |
COM |
| Subject category code subdivision |
004000 |
| Source |
bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE |
|---|
| Subject category code |
UY |
| Source |
bicssc |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
23 |
| Classification number |
616.7/1028563 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Preferred name for the person |
Malviya, Rishabha, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Artificial intelligence for bone disorder : |
| Remainder of title |
diagnosis and treatment / |
| Statement of responsibility, etc |
Rishabha Malviya, Shivam Rajput and Makarand Vaidya. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Hoboken, NJ : |
| Name of publisher, distributor, etc |
Wiley ; |
| Place of publication, distribution, etc |
Beverly, MA : |
| Name of publisher, distributor, etc |
Scrivener Publishing, |
| Date of publication, distribution, etc |
2024. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource (272 pages) |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media type term |
computer |
| Media type code |
c |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Carrier type term |
online resource |
| Carrier type code |
cr |
| Source |
rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 0# - CONTENTS |
|---|
| Formatted contents note |
Foreword -- Preface -- 1 Artificial Intelligence and Bone Fracture Detection: An Unexpected Alliance -- 1.1 Introduction -- 1.2 Bone Fracture -- 1.3 Deep Learning and Its Significance in Radiology -- 1.4 Role of AI in Bone Fracture Detection and Its Application -- 1.5 Primary Machine Learning-Based Algorithm in Bone Fracture Detection -- 1.6 Deep Learning-Based Techniques for Fracture Detection -- 1.7 Conclusion -- 2 Integrating AI With Tissue Engineering: The Next Step in Bone Regeneration -- 2.1 Introduction -- 2.2 Anatomy and Biology of Bone -- 2.3 Bone Regeneration Mechanism -- 2.4 Understanding AI -- 2.5 Current AI Integration -- 2.6 Applying Deep Learning -- 2.7 Conclusion -- 3 Deep Supervised Learning on Radiological Images to Classify Bone Fractures: A Novel Approach -- 3.1 Introduction -- 3.2 Common Bone Disorder -- 3.3 Deep Supervised Learning's Importance in Orthopedics and Radiology -- 3.4 Perspective From the Past -- 3.5 Essential Deep Learning Methods for Bone Imaging -- 3.6 Strategies for Effective Annotation -- 3.7 Application of Deep Learning to the Detection of Fractures -- 3.8 Conclusion -- 4 Treatment of Osteoporosis and the Use of Digital Health Intervention -- 4.1 Introduction -- 4.2 Opportunistic Diagnosis of Osteoporosis -- 4.3 Predictive Models -- 4.4 Assessment of Fracture Risk and Osteoporosis Diagnosis by Digital Health -- 4.5 Clinical Decision Support Tools, Reminders, and Prompts for Spotting Osteoporosis in Digital Health Settings -- 4.6 The Role of Digital Health in Facilitating Patient Education, Decision, and Conversation -- 4.7 Conclusion -- 5 Utilizing AI to Improve Orthopedic Care -- 5.1 Introduction -- 5.2 What is AI? -- 5.3 Introduction to Machine Learning: Algorithms and Applications -- 5.4 Natural Language Processing -- 5.5 The Internet of Things -- 5.6 Prospective AI Advantages in Orthopedics -- 5.7 Diagnostic Application of AI -- 5.8 Prediction Application With AI -- 5.9 Conclusion -- 6 Significance of Artificial Intelligence in Spinal Disorder Treatment -- 6.1 Introduction -- 6.2 Machine Learning -- 6.3 Methods Derived From Statistics -- 6.4 Applications of Machine Learning in Spine Surgery -- 6.5 Application of AI and ML in Spine Research -- 6.6 Conclusion -- 7 Osteoporosis Biomarker Identification and Use of Machine Learning in Osteoporosis Treatment -- 7.1 Introduction -- 7.2 Biomarkers of Bone Development -- 7.3 Biomarkers for Bone Resorption -- 7.4 Regulators of Bone Turnover -- 7.5 Methods to Identify Osteoporosis -- 7.6 Conclusion -- 8 The Role of AI in Pediatric Orthopedics -- 8.1 Introduction -- 8.2 Strategy Based on Artificial Intelligence -- 8.3 Several Applications of Artificial Intelligence -- 8.4 Conclusion -- 9 Use of Artificial Intelligence in Imaging for Bone Cancer -- 9.1 Introduction -- 9.2 Applications of Machine Learning to Cancer Diagnosis -- 9.3 Artificial Intelligence Methods for Diagnosing Bone Cancer -- 9.4 Methodologies for Constructing Deep Learning Model -- 9.5 Clinical Image Applications of Deep Learning for Bone Tumors -- 9.6 Conclusion -- References -- Index. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
ARTIFICIAL INTELLIGENCE FOR BONE DISORDER The authors have produced an invaluable resource that connects the fields of AI and bone treatment by providing essential insights into the current state and future of AI in bone condition diagnosis and therapy, as well as a methodical examination of machine learning algorithms, deep learning approaches, and their real-world uses. The book explores the use of artificial intelligence (AI) in the diagnosis and treatment of various bone illnesses. The integration of AI approaches in the fields of orthopedics, radiography, tissue engineering, and other areas related to bone are discussed in detail. It covers tissue engineering methods for bone regeneration and investigates the use of AI tools in this area, emphasizing the value of deep learning and how to use AI in tissue engineering efficiently. The book also covers diagnostic and prognostic uses of AI in orthopedics, such as the diagnosis of disorders involving the hip and knee as well as prognoses for therapies. Chapters also look at MRI, trabecular biomechanical strength, and other methods for diagnosing osteoporosis. Other issues the book examines include several uses of AI in pediatric orthopedics, 3D modeling, digital X-ray radiogrammetry, convolutional neural networks for customized care, and digital tomography. With information on the most recent developments and potential future applications, each chapter of the book advances our understanding of how AI might be used to diagnose and treat bone problems. Audience This book will serve as a guide for orthopedic experts, biomedical engineers, faculty members, research scholars, IT specialists, healthcare workers, and hospital administrators. |
| 588 0# - SOURCE OF DESCRIPTION NOTE |
|---|
| Source of description note |
Online resource; title from PDF title page (John Wiley, viewed February 5, 2024). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Bones |
| General subdivision |
Diseases |
| -- |
Data processing. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence |
| General subdivision |
Medical applications. |
| Authority record control number |
http://id.loc.gov/authorities/subjects/sh88003000 |
| 655 #0 - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Electronic books. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Rajput, Shivam, |
| Relator term |
author. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Vaidya, Makarand, |
| Relator term |
author. |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
https://onlinelibrary.wiley.com/doi/book/10.1002/9781394230914 |
| Link text |
Full text is available at Wiley Online Library. Click here to view. |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Source of classification or shelving scheme |
|
| Item type |
EBOOK |