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12382cam a22004817i 4500 |
| 001 - CONTROL NUMBER |
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14321009 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20260714114237.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION |
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cr cnu---unuuu |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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250108s2025 nju o 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781394278664 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781394278695 |
| Qualifying information |
electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
1394278691 |
| Qualifying information |
electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
1394278675 |
| Qualifying information |
electronic book |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781394278688 |
| Qualifying information |
(electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
1394278683 |
| Qualifying information |
(electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781394278671 |
| Qualifying information |
(electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| Cancelled/invalid ISBN |
9781394278664 |
| Qualifying information |
hardcover |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| Cancelled/invalid ISBN |
1394278667 |
| Qualifying information |
hardcover |
| 024 7# - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.1002/9781394278695 |
| Source of number or code |
doi |
| 035 ## - SYSTEM CONTROL NUMBER |
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| System control number |
(OCoLC)1482800090 |
| 035 #9 - SYSTEM CONTROL NUMBER |
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| System control number |
(OCLCCM-Owned)1482800090 |
| 037 ## - SOURCE OF ACQUISITION |
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| Stock number |
10833938 |
| Source of stock number/acquisition |
IEEE |
| 041 ## - LANGUAGE CODE |
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| 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 |
RC71.3 |
| Item number |
.A55 2025 |
| 245 00 - TITLE STATEMENT |
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| Title |
AI in disease detection : |
| Remainder of title |
advancements and applications / |
| Statement of responsibility, etc |
edited by Rajesh Singh... [and 3 others]. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Hoboken, New Jersey : |
| Name of publisher, distributor, etc |
John Wiley & Sons, Inc., |
| Date of publication, distribution, etc |
[2025] |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource |
| 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 |
| 505 8# - CONTENTS |
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| Field link and sequence number |
1.2\x |
| Formatted contents note |
ty and Flexibility -- Innovations and Future Instructions -- Multimodal Gaining Knowledge -- Federated Learning for Privateness-Retaining AI -- Explainable AI (XAI) for Stepped Forward Interpretability -- Integration with Wearable Devices -- Real-Time Adaptive Learning -- Conclusion and Future Scope -- Multimodal Deep Learning Integration -- Federated Learning for Stronger Privacy -- Explainable AI (XAI) for Transparency -- Wearable Generation AI and Continuous Monitoring -- Adaptive Learning and Real-Time Model Updating -- Personalized Remedy and Predictive Analytics -- Collaborative AI Systems -- Stronger Data Augmentation Techniques -- AI-Driven Clinical Trials and Research -- International Health and AI-Driven Disorder Surveillance -- References -- 6 Applications of AI in Cardiovascular Disease Detection -- A Review of the Specific Ways in which AI Is Being Used to Detect and Diagnose Cardiovascular Diseases 123 Satish Mahadevan Srinivasan and Vinod Sharma -- Introduction -- Objectives -- Literature Review -- Fundamentals of AI in Medical Applications -- Machine Learning vs. Deep Learning -- AI Techniques for Cardiovascular Disease Detection -- Convolutional Neural Networks (CNNs) -- Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) Networks -- Support Vector Machines (SVMs) -- Random Forests -- AI in Cardiovascular Imaging -- AI in Echocardiography -- AI in Cardiac MRI and CT Scans -- AI in Nuclear Cardiology -- AI in Electrocardiogram (ECG) Analysis -- Computer-Based ECG Interpretation -- Case Studies and Real-World Implementations -- AI in Risk Prediction and Stratification -- Risk Prediction Models -- Personalized Risk Stratification -- AI in Monitoring and Managing Cardiovascular Health -- AI-Assisted Disease Management -- Challenges and Limitations of AI in Cardiovascular Disease Detection -- Data Quality and Availability -- Model Interpretability and Transparency -- Clinical Integration and Adoption -- Ethical and Legal Considerations -- Methodology -- Results and Analysis -- Conclusion and Future Scope -- References -- 7 Applications of AI in Cancer Detection -- A Review of the Specific Ways in which AI Is Being Used to Detect and Diagnose Various Types of Cancer 147 Shival Dubey and Shailendra Singh Sikarwar -- Introduction -- Objectives -- Literature Review -- Methodology -- Results and Analysis -- Conclusion and Future Scope -- References -- 8 Applications of AI in Neurological Disease Detection -- A Review of Specific Ways in Which AI Is Being Used to Detect and Diagnose Neurological Disorders, Such as Alzheimer's and Parkinson's 167 Dolly Sharma and Priyanka Kaushik -- Introduction -- Objectives -- Literature Review -- Key Applications of AI in Medical Settings -- AI Techniques for Detecting Alzheimer's Disease -- AI Techniques for Detecting Parkinson's Disease -- AI Techniques in Other Neurological Disorders -- Methodology -- Results and Analysis -- Conclusion and Future Scope -- References -- 9 AI Integration in Healthcare Systems -- A Review of the Problems and Potential Associated with Integrating AI in Healthcare for Disease Detection and Diagnosis 191 Praveen Kumar Malik, Hitesh Bhatt, and Madhuri Sharma -- Introduction -- Objectives -- Literature Review -- Advantages of AI Integration in Healthcare Systems for Disease Detection and Diagnosis -- Limitations of AI Integration in Healthcare Systems for Disease Detection and Diagnosis -- Applications of AI Integration in Healthcare Systems for Disease Detection and Diagnosis -- Methodology -- Results and Analysis -- More Desirable Diagnostic Accuracy and Efficiency -- Interpretability and Trustworthiness -- Robustness and Generalizability -- Continuous Learning and Version -- Patient Consequences and Healthcare Impact -- Observations -- Potential Benefits of AI Integration -- Future Directions -- Conclusion -- Future Scope -- References -- 10 Clinical Validation of AI Disease Detection Models -- An Overview of the Clinical Validation Process for AI Disease Detection Models, and How They Can Be Validated for Accuracy and Effectiveness 215 Manish Prateek and Saurabh Pratap Singh Rathore -- Introduction -- Objectives -- Literature Review -- Advantages of the Clinical Validation of AI Disease Detection Models -- The Clinical Validation Process -- Clinical Trials -- Limitations of the Clinical Validation Process -- Data Quality and Availability -- Model Generalizability -- Regulatory and Ethical Challenges -- Integration with Clinical Workflow -- Cost and Resource Requirements -- Interpretability and Transparency -- Clinical Trial Limitations Narrow Focus -- Applications of AI Disease Detection Models -- Radiology and Medical Imaging -- Pathology -- Cardiology -- Ophthalmology -- Oncology -- Neurology -- Primary Care -- Public Health -- Research and Development -- Methodology -- Results and Analysis -- Conclusion and Future Scope -- References -- 11 Integration of AI in Healthcare Systems -- A Discussion of the Challenges and Opportunities of Integrating AI in Healthcare Systems for Disease Detection and Diagnosis 239 Nitin Sharma and Priyanka Kaushik -- Introduction -- Objectives -- Literature Review -- Advantages of AI Integration in Healthcare Systems -- Enhanced Diagnostic Accuracy -- Early Disease Detection -- Continuous Learning and Improvement -- Limitations and Challenges of Integrating AI in Healthcare Systems -- Applications of AI in Healthcare for Disease Detection and Diagnosis -- Medical Imaging Analysis -- Pathology: 4,444 AI Systems Checking Biopsy Samples for Cancer Cells -- Chronic Disease Management -- Methodology -- Results and Analysis -- More Desirable Diagnostic Accuracy and Efficiency -- Interpretability and Trustworthiness -- Patient Outcomes and Healthcare Impact -- Observations -- Conclusion -- Future Scope -- Growth into Multi-Omics Records Integration -- Development of AI-Driven Predictive Analytics for Physical Fitness -- Enhancement of Real-Time Data Selection Guide Structures -- Implementation of AI in Virtual and Telehealth Services -- Ethical AI and Bias Mitigation Strategies -- Collaborative AI for Interdisciplinary Studies -- Personalized Fitness Training and Lifestyle Interventions -- Augmented Reality (AR) and AI for Better Clinical Training -- References -- 12 The Future of AI in Disease Detection -- A Look at Emerging Trends and Future Directions in the Use of AI for Disease Detection and Diagnosis 265 Binboga Siddik Yarman and Saurabh Pratap Singh Rathore -- Introduction -- Objectives -- Literature Review -- Advantages of AI in Disease Detection -- Limitations of AI in Disease Detection -- Applications of AI in Disease Detection -- Methodology -- Result and Analysis -- Observations -- Upgraded Diagnosis Accuracy -- Moving Toward Personalized Treatment -- Advances in Foundation Imaging -- Conclusion and Future Scope -- References -- 13 Limitations and Challenges of AI in Disease Detection -- An Examination of the Limitations and Challenges of AI in Disease Detection, Including the Need for Large Datasets and Potential Biases 289 Anchit Bijalwan and Shailendra Singh Sikarwar -- Introduction -- Objectives -- Literature Review -- Advantages of AI in Disease Detection: A Comprehensive Overview -- Enhanced Accuracy and Precision -- Speedier Preparing and Determination -- Taking Care of Expansive Volumes of Information -- Ceaseless Learning and Enhancement -- Diminishment of Human Mistake -- Limitations and Challenges of AI in Disease Detection -- Applications of AI in Disease Detection: A Comprehensive Overview -- Medical Imaging Analysis -- Drug Discovery and Development -- Methodology -- Result and Analysis -- Observations -- Significant Impact on Medical Imaging -- Automation and Efficiency in Pathology -- Advancements in Genomics and Personalized Medicine -- Early Detection and Proactive Health Management -- Predictive Analytics for Risk Assessment -- Support for Healthcare Professionals -- NLP in Electronic Health Records -- Enhancing Remote Monitoring and Telemedicine -- Accelerating Drug Discovery -- Addressing Mental Health -- Conclusion and Future Scope -- References -- 14 AI-Assisted Diagnosis and Treatment Planning -- A Discussion of How AI Can Assist Healthcare Professionals in Making More Accurate Diagnos. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Comprehensive resource encompassing recent developments, current use cases, and future opportunities for AI in disease detection AI in Disease Detection discusses the integration of artificial intelligence to revolutionize disease detection approaches, with case studies of AI in disease detection as well as insight into the opportunities and challenges of AI in healthcare as a whole. The book explores a wide range of individual AI components such as computer vision, natural language processing, and machine learning as well as the development and implementation of AI systems for efficient practices in data collection, model training, and clinical validation. This book assists readers in assessing big data in healthcare and determining the drawbacks and possibilities associated with the implementation of AI in disease detection; categorizing major applications of AI in disease detection such as cardiovascular disease detection, cancer diagnosis, neurodegenerative disease detection, and infectious disease control, as well as implementing distinct AI methods and algorithms with medical data including patient records and medical images, and understanding the ethical and social consequences of AI in disease detection such as confidentiality, bias, and accessibility to healthcare. Sample topics explored in AI in Disease Detection include: Legal implication of AI in healthcare, with approaches to ensure privacy and security of patients and their data Identification of new biomarkers for disease detection, prediction of disease outcomes, and customized treatment plans depending on patient characteristics AI's role in disease surveillance and outbreak detection, with case studies of its current usage in real-world scenarios Clinical validation processes for AI disease detection models and how they can be validated for accuracy and effectiveness Delivering excellent coverage of the subject, AI in Disease Detection is an essential up-to-date reference for students, healthcare professionals, academics, and practitioners seeking to understand the possible applications of AI in disease detection and stay on the cutting edge of the most recent breakthroughs in the field. |
| 588 ## - SOURCE OF DESCRIPTION NOTE |
|---|
| Source of description note |
Description based on online resource; title from digital title page (viewed on January 08, 2025). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Diagnosis |
| General subdivision |
Technological innovations. |
| 655 #4 - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
Electronic books. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Singh, Rajesh |
| Titles and other words associated with a name |
(Electrical engineer), |
| Relator term |
editor. |
| Real World Object URI |
https://id.oclc.org/worldcat/entity/E39PCjtBmYgcgvhMtg3TrMkp4C |
| Authority record control number |
http://id.loc.gov/authorities/names/n2017069109 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Display text |
Print version: |
| International Standard Book Number |
1394278667 |
| -- |
9781394278664 |
| Record control number |
(OCoLC)1455530863 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
https://onlinelibrary.wiley.com/doi/book/10.1002/9781394278695 |
| 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 |