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Future of AI in biomedicine and biot...

IGI Global.

Future of AI in biomedicine and biotechnology

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Future of AI in biomedicine and biotechnologyShankar Mukundrao Khade, Raj Gaurav Mishra, editors.
其他題名:	Future of artificial intelligence in biomedicine and biotechnology
其他作者:	Mishra, Raj Gaurav.
出版者:	Hershey, Pennsylvania :IGI Global,2024.
面頁冊數:	1 online resource (355 p.) :ill.
標題:	Artificial intelligenceMedical applications.
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3629-8
ISBN:	9798369336304$q(ebook)

Future of AI in biomedicine and biotechnology
Future of AI in biomedicine and biotechnology[electronic resource] /Future of artificial intelligence in biomedicine and biotechnologyShankar Mukundrao Khade, Raj Gaurav Mishra, editors. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (355 p.) :ill.

Includes bibliographical references and index.

Chapter 1. Introduction to AI in biotechnology and biomedical engineering -- Chapter 2. Introduction to AI in biomedical and biotechnology -- Chapter 3. Introduction to predictive analysis in healthcare: from data to diagnosis - exploring the potential of predictive analytics -- Chapter 4. The transformative role of artificial intelligence in advancing bovine reproductive biology -- Chapter 5. Revolutionizing healthcare: telemedicine and remote patient monitoring -- Chapter 6. Using CNN for brain tumor diagnosis: an overview -- Chapter 7. IoT-enabled assistive technologies approach for personalized geriatric health monitoring and safety -- Chapter 8. Enhancing healthcare integration with IoT for seamless and responsive patient care -- Chapter 9. Detection of heart disease using ANN: present research and future opportunities -- Chapter 10. A comprehensive study on disease diagnosis using Ayurvedic Dosha analysis -- Chapter 11. Artificial intelligence's integration in biomedical engineering: impacts on diagnostics and future healthcare -- Chapter 12. Shaping the future of healthcare with BERT in clinical text analytics -- Chapter 13. AI-driven drug discovery and development -- Chapter 14. AI in bioinformatics and computational biology -- Chapter 15. AI in genomic medicine: transforming healthcare.

"The healthcare industry is grappling with numerous challenges, including rising costs, inefficiencies in service delivery, and the need for personalized treatment approaches. Traditional healthcare management and delivery methods must be improved in addressing these issues, leading to a growing demand for innovative solutions. Additionally, the exponential growth of medical data and the complexity of biomedical research and biotechnology presents a daunting challengein harnessing this data effectively for improved patient care and medical advancements. There is a pressing need for a comprehensive understanding of how artificial intelligence (AI) can be leveraged to tackle these challenges and drive meaningful change in the healthcare sector.Future of AI in Biomedicine and Biotechnology offers a timely and insightful solution to the challenges faced by the healthcare industry. This book is not just a theoretical exploration; it is a practical roadmap for healthcare professionals, researchers, policymakers, and entrepreneurs seeking to navigate the complexities of AI in healthcare. By exploring the intersection of AI with biomedical sciences and biotechnology, this book provides a comprehensive guide to harnessing the power of AI for transformative healthcare innovation."--

Mode of access: World Wide Web.

ISBN: 9798369336304$q(ebook)Subjects--Topical Terms:

237917
Artificial intelligence
--Medical applications.Subjects--Index Terms:

AI for Healthcare Resource Optimization.Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: R859.7.A78 / F88 2024eb

Dewey Class. No.: 610.285

National Library of Medicine Call No.: W 26.5 / .F88 2024eb

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300 $a 1 online resource (355 p.) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Introduction to AI in biotechnology and biomedical engineering -- Chapter 2. Introduction to AI in biomedical and biotechnology -- Chapter 3. Introduction to predictive analysis in healthcare: from data to diagnosis - exploring the potential of predictive analytics -- Chapter 4. The transformative role of artificial intelligence in advancing bovine reproductive biology -- Chapter 5. Revolutionizing healthcare: telemedicine and remote patient monitoring -- Chapter 6. Using CNN for brain tumor diagnosis: an overview -- Chapter 7. IoT-enabled assistive technologies approach for personalized geriatric health monitoring and safety -- Chapter 8. Enhancing healthcare integration with IoT for seamless and responsive patient care -- Chapter 9. Detection of heart disease using ANN: present research and future opportunities -- Chapter 10. A comprehensive study on disease diagnosis using Ayurvedic Dosha analysis -- Chapter 11. Artificial intelligence's integration in biomedical engineering: impacts on diagnostics and future healthcare -- Chapter 12. Shaping the future of healthcare with BERT in clinical text analytics -- Chapter 13. AI-driven drug discovery and development -- Chapter 14. AI in bioinformatics and computational biology -- Chapter 15. AI in genomic medicine: transforming healthcare.
520 3 $a "The healthcare industry is grappling with numerous challenges, including rising costs, inefficiencies in service delivery, and the need for personalized treatment approaches. Traditional healthcare management and delivery methods must be improved in addressing these issues, leading to a growing demand for innovative solutions. Additionally, the exponential growth of medical data and the complexity of biomedical research and biotechnology presents a daunting challengein harnessing this data effectively for improved patient care and medical advancements. There is a pressing need for a comprehensive understanding of how artificial intelligence (AI) can be leveraged to tackle these challenges and drive meaningful change in the healthcare sector.Future of AI in Biomedicine and Biotechnology offers a timely and insightful solution to the challenges faced by the healthcare industry. This book is not just a theoretical exploration; it is a practical roadmap for healthcare professionals, researchers, policymakers, and entrepreneurs seeking to navigate the complexities of AI in healthcare. By exploring the intersection of AI with biomedical sciences and biotechnology, this book provides a comprehensive guide to harnessing the power of AI for transformative healthcare innovation."-- $c Provided by publisher.
538 $a Mode of access: World Wide Web.
650 0 $a Artificial intelligence $x Medical applications. $3 237917
650 2 $a Machine Learning. $3 833608
653 $a AI for Healthcare Resource Optimization.
653 $a AI in Bioinformatics and Computational Biology.
653 $a AI in Biotechnology Manufacturing and Quality Control.
653 $a AI in Drug Repurposing and Pharmacovigilance.
653 $a AI in Genomic Medicine.
653 $a AI-Driven Drug Discovery and Development.
653 $a AI-Powered Medical Diagnosis and Decision Support.
653 $a Artificial Intelligence.
653 $a Deep Learning in Medical Imaging.
653 $a Ethical and Regulatory Considerations in AI Healthcare.
653 $a Foundations of Machine Learning for Biomedical Data.
653 $a Future Trends and Challenges in AI for Biomedical and Biotechnology.
653 $a Historical Perspectives on AI in Healthcare.
653 $a Introduction to AI in Biomedical and Biotechnology.
653 $a Natural Language Processing for Clinical Text Data.
653 $a Patient Engagement and AI-Driven Healthcare Apps.
655 4 $a Electronic books. $2 local. $3 214472
700 1 $a Mishra, Raj Gaurav. $3 995129
700 1 $a Khade, Shankar Mukundrao. $3 995130
710 2 $a IGI Global. $3 529832
776 0 8 $i Print version: $z 9798369336298
856 4 0 $u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3629-8