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- Leidėjas: Taylor & Francis Ltd
- Metai: 2026
- Puslapiai: 306
- ISBN-10: 1032874171
- ISBN-13: 9781032874173
- Formatas: 21 x 28 x cm, kieti viršeliai
- Kalba: Anglų
Artificial Intelligence in Smart Healthcare Systems (el. knyga) (skaityta knyga) | knygos.lt
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Aprašymas
Artificial Intelligence in Smart Healthcare Systems gathers specialist researchers and practitioners from around the globe to present cutting-edge advances in the field of artificial intelligence (AI) and healthcare, which promises to be a transformative force in the industry.
Covering both the current landscape as well as the future of healthcare, the book explores the diverse applications of AI in healthcare. Readers will gain an understanding of how machine learning algorithms, natural language processing, and other AI technologies are revolutionizing various facets of healthcare, from diagnostics and treatment to patient management. Including real-world examples and case studies, the book bridges the gap between theoretical concepts and practical implementation, ensuring that readers develop a nuanced and practical grasp of AI's impact on healthcare systems. Moreover, the book serves as a roadmap for healthcare professionals and researchers looking to integrate AI solutions into their practices.
- Leidėjas: Taylor & Francis Ltd
- Metai: 2026
- Puslapiai: 306
- ISBN-10: 1032874171
- ISBN-13: 9781032874173
- Formatas: 21 x 28 x cm, kieti viršeliai
- Kalba: Anglų
Artificial Intelligence in Smart Healthcare Systems gathers specialist researchers and practitioners from around the globe to present cutting-edge advances in the field of artificial intelligence (AI) and healthcare, which promises to be a transformative force in the industry.
Covering both the current landscape as well as the future of healthcare, the book explores the diverse applications of AI in healthcare. Readers will gain an understanding of how machine learning algorithms, natural language processing, and other AI technologies are revolutionizing various facets of healthcare, from diagnostics and treatment to patient management. Including real-world examples and case studies, the book bridges the gap between theoretical concepts and practical implementation, ensuring that readers develop a nuanced and practical grasp of AI's impact on healthcare systems. Moreover, the book serves as a roadmap for healthcare professionals and researchers looking to integrate AI solutions into their practices.
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