Future of AI in biomedicine and biotechnology:
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 dema...
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| Other Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania
IGI Global
2024
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| Subjects: | |
| Online Access: | DE-91 DE-898 DE-1050 Volltext |
| Summary: | 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 challenge in 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. |
| Physical Description: | 1 Online-Ressource (355 Seiten) |
| ISBN: | 9798369336304 |
| DOI: | 10.4018/979-8-3693-3629-8 |
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| 520 | |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 challenge in 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. | ||
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| id | DE-604.BV049817748 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-17T19:01:35Z |
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| isbn | 9798369336304 |
| language | English |
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| spelling | Future of AI in biomedicine and biotechnology Shankar Mukundrao Khade, Raj Gaurav Mishra, editors Future of artificial intelligence in biomedicine and biotechnology Hershey, Pennsylvania IGI Global 2024 1 Online-Ressource (355 Seiten) txt rdacontent c rdamedia cr rdacarrier 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 challenge in 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. Artificial intelligence Medical applications Khade, Shankar Mukundrao edt Mishra, Raj Gaurav edt Erscheint auch als Druck-Ausgabe 9798369336298 https://doi.org/10.4018/979-8-3693-3629-8 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Future of AI in biomedicine and biotechnology Artificial intelligence Medical applications |
| title | Future of AI in biomedicine and biotechnology |
| title_alt | Future of artificial intelligence in biomedicine and biotechnology |
| title_auth | Future of AI in biomedicine and biotechnology |
| title_exact_search | Future of AI in biomedicine and biotechnology |
| title_full | Future of AI in biomedicine and biotechnology Shankar Mukundrao Khade, Raj Gaurav Mishra, editors |
| title_fullStr | Future of AI in biomedicine and biotechnology Shankar Mukundrao Khade, Raj Gaurav Mishra, editors |
| title_full_unstemmed | Future of AI in biomedicine and biotechnology Shankar Mukundrao Khade, Raj Gaurav Mishra, editors |
| title_short | Future of AI in biomedicine and biotechnology |
| title_sort | future of ai in biomedicine and biotechnology |
| topic | Artificial intelligence Medical applications |
| topic_facet | Artificial intelligence Medical applications |
| url | https://doi.org/10.4018/979-8-3693-3629-8 |
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