Revolutionizing the healthcare sector with AI:
The healthcare sector is at a critical juncture, facing the pressing need to integrate generative AI technologies responsibly. Despite the promising benefits, such as improved diagnostics, personalized treatments, and streamlined operations, the adoption of AI in healthcare poses significant challen...
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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-1050 URL des Erstveröffentlichers |
| Summary: | The healthcare sector is at a critical juncture, facing the pressing need to integrate generative AI technologies responsibly. Despite the promising benefits, such as improved diagnostics, personalized treatments, and streamlined operations, the adoption of AI in healthcare poses significant challenges. These challenges include ethical dilemmas, regulatory complexities, and the need for governance frameworks to ensure the technology's responsible use.Revolutionizing the Healthcare Sector with AI offers a comprehensive solution to these challenges. It provides a deep dive into the adoption, integration, scalability, and sustainability of generative AI in healthcare and a thorough analysis of governance, ethical, and regulatory issues. By offering insights from researchers, practitioners, patients, and policymakers, this book is a platform for responsible AI adoption in healthcare. |
| Physical Description: | 1 Online-Ressource (471 Seiten) |
| DOI: | 10.4018/979-8-3693-3731-8 |
Staff View
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| illustrated | Not Illustrated |
| indexdate | 2024-12-17T19:01:34Z |
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| language | English |
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| spelling | Revolutionizing the healthcare sector with AI Babita Singla, Kumar Shalender, Katja Stamer, editors Revolutionizing the healthcare sector with artificial intelligence Hershey, Pennsylvania IGI Global 2024 1 Online-Ressource (471 Seiten) txt rdacontent c rdamedia cr rdacarrier The healthcare sector is at a critical juncture, facing the pressing need to integrate generative AI technologies responsibly. Despite the promising benefits, such as improved diagnostics, personalized treatments, and streamlined operations, the adoption of AI in healthcare poses significant challenges. These challenges include ethical dilemmas, regulatory complexities, and the need for governance frameworks to ensure the technology's responsible use.Revolutionizing the Healthcare Sector with AI offers a comprehensive solution to these challenges. It provides a deep dive into the adoption, integration, scalability, and sustainability of generative AI in healthcare and a thorough analysis of governance, ethical, and regulatory issues. By offering insights from researchers, practitioners, patients, and policymakers, this book is a platform for responsible AI adoption in healthcare. Artificial intelligence Medical applications Medical informatics Shalender, Kumar 1984- edt Singla, Babita 1988- edt Stamer, Katja edt Erscheint auch als Druck-Ausgabe 9798369337318 https://doi.org/10.4018/979-8-3693-3731-8 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Revolutionizing the healthcare sector with AI Artificial intelligence Medical applications Medical informatics |
| title | Revolutionizing the healthcare sector with AI |
| title_alt | Revolutionizing the healthcare sector with artificial intelligence |
| title_auth | Revolutionizing the healthcare sector with AI |
| title_exact_search | Revolutionizing the healthcare sector with AI |
| title_full | Revolutionizing the healthcare sector with AI Babita Singla, Kumar Shalender, Katja Stamer, editors |
| title_fullStr | Revolutionizing the healthcare sector with AI Babita Singla, Kumar Shalender, Katja Stamer, editors |
| title_full_unstemmed | Revolutionizing the healthcare sector with AI Babita Singla, Kumar Shalender, Katja Stamer, editors |
| title_short | Revolutionizing the healthcare sector with AI |
| title_sort | revolutionizing the healthcare sector with ai |
| topic | Artificial intelligence Medical applications Medical informatics |
| topic_facet | Artificial intelligence Medical applications Medical informatics |
| url | https://doi.org/10.4018/979-8-3693-3731-8 |
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