9781032833064 - artificial intelligence revolutionizing cancer care: precision diagnosis and patient-centric healthcare (15 risultati)
Artificial Intelligence Revolutionizing Cancer Care : Precision Diagnosis and Patient-centric Healthcare
Swarnkar, Suman Kumar (EDT); Guru, Abhishek (EDT); Chhabra, Gurpreet Singh (EDT); Devarajan, Harshitha Raghavan (EDT)
Lingua: Inglese
Editore: CRC Press 2025
Serie: Future Generation Information Systems, Libro 7 di 9. Libro 7 di 9 - Future Generation Information Systems
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Artificial Intelligence Revolutionizing Cancer Care : Precision Diagnosis and Patient-centric Healthcare
Swarnkar, Suman Kumar (EDT); Guru, Abhishek (EDT); Chhabra, Gurpreet Singh (EDT); Devarajan, Harshitha Raghavan (EDT)
Lingua: Inglese
Editore: CRC Press 2025
Serie: Future Generation Information Systems, Libro 7 di 9. Libro 7 di 9 - Future Generation Information Systems
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Artificial Intelligence Revolutionizing Cancer Care : Precision Diagnosis and Patient-centric Healthcare
Swarnkar, Suman Kumar (EDT); Guru, Abhishek (EDT); Chhabra, Gurpreet Singh (EDT); Devarajan, Harshitha Raghavan (EDT)
Lingua: Inglese
Editore: CRC Press 2025
Serie: Future Generation Information Systems, Libro 7 di 9. Libro 7 di 9 - Future Generation Information Systems
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Artificial Intelligence Revolutionizing Cancer Care : Precision Diagnosis and Patient-centric Healthcare
Swarnkar, Suman Kumar (EDT); Guru, Abhishek (EDT); Chhabra, Gurpreet Singh (EDT); Devarajan, Harshitha Raghavan (EDT)
Lingua: Inglese
Editore: CRC Press 2025
Serie: Future Generation Information Systems, Libro 7 di 9. Libro 7 di 9 - Future Generation Information Systems
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Editore: CRC Press 2025
Serie: Future Generation Information Systems, Libro 7 di 9. Libro 7 di 9 - Future Generation Information Systems
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Serie: Future Generation Information Systems, Libro 7 di 9. Libro 7 di 9 - Future Generation Information Systems
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Lingua: Inglese
Editore: CRC Press 2025
Serie: Future Generation Information Systems, Libro 7 di 9. Libro 7 di 9 - Future Generation Information Systems
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Da: Books Puddle, New York, U.S.A.Books Puddle
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Condizione: New. 1st edition NO-PA16APR2015-KAP.
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Hardcover. Condizione: Brand New. 1st edition. 261 pages. 9.50x6.56x0.75 inches. In Stock.
Lingua: Inglese
Editore: Taylor & Francis Ltd, London 2025
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Hardcover. Condizione: new. Hardcover. In the ever-evolving landscape of cancer treatment, the fusion of artificial intelligence (AI) with medical science marks a groundbreaking shift toward more precise, efficient, and personalized healthcare. Artificial Intelligence Revolutionizing Cancer Care: Precision Diagnosis and Patient-…Centric Healthcare delves into the transformative power of AI, offering a comprehensive exploration of its role in enhancing cancer diagnosis, treatment, and patient management. This edited volume brings together leading experts and researchers who illuminate the latest advancements in AI technologies applied to oncology. From machine learning algorithms that predict cancer progression to sophisticated imaging techniques that improve diagnostic accuracy, this book covers a spectrum of innovations reshaping cancer care. Key highlights include precision diagnosis, uncovering how AI-driven tools are revolutionizing the early detection and accurate classification of various cancer types, leading to better patient outcomes; patient-centric approaches, exploring the shift toward personalized medicine, where AI tailors treatment protocols to individual patient profiles, ensuring more effective and targeted therapies; and ethical and practical considerations, gaining insights into the ethical, practical, and regulatory challenges of integrating AI in healthcare, emphasizing the need for patient privacy and data security. Additionally, the book looks ahead to the potential future applications of AI in oncology, including predictive analytics, robotic surgery, and beyond. Artificial Intelligence Revolutionizing Cancer Care is an essential resource for medical professionals, researchers, and students seeking to understand the intersection of AI and oncology. It offers a visionary perspective on how cutting-edge technology is poised to enhance patient care and transform the fight against cancer.This bookfocuses on the critical intersection of artificial intelligence and cancer diagnosis within the healthcare sectoremphasizes the real-world impact of artificial intelligence in improving cancer detection, treatment, and overall patient carecovers artificial intelligence algorithms, machine learning techniques, medical image analysis, predictive modeling, and patient care applicationsexplores how artificial intelligence technologies enhance the patients experience, resulting in better outcomes and reduced healthcare disparitiesprovides readers with an understanding of the mathematics underpinning machine learning models, including decision trees, support vector machines, and deep neural networksIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, biomedical engineering, and information technology. This book delves into the transformative power of AI, offering a comprehensive exploration of its role in enhancing cancer diagnosis, treatment, and patient management. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Lingua: Inglese
Editore: CRC Press Feb 2025 2025
Serie: Future Generation Information Systems, Libro 7 di 9. Libro 7 di 9 - Future Generation Information Systems
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the ever-evolving landscape of cancer treatment, the fusion of artificial intelligence (AI) with medical science marks a groundbreaking shift toward more precise, efficient, and personalized healthcare. Artificial Intelligence Revoluti…onizing Cancer Care: Precision Diagnosis and Patient-Centric Healthcare delves into the transformative power of AI, offering a comprehensive exploration of its role in enhancing cancer diagnosis, treatment, and patient management. This edited volume brings together leading experts and researchers who illuminate the latest advancements in AI technologies applied to oncology. From machine learning algorithms that predict cancer progression to sophisticated imaging techniques that improve diagnostic accuracy, this book covers a spectrum of innovations reshaping cancer care. Key highlights include precision diagnosis, uncovering how AI-driven tools are revolutionizing the early detection and accurate classification of various cancer types, leading to better patient outcomes; patient-centric approaches, exploring the shift toward personalized medicine, where AI tailors treatment protocols to individual patient profiles, ensuring more effective and targeted therapies; and ethical and practical considerations, gaining insights into the ethical, practical, and regulatory challenges of integrating AI in healthcare, emphasizing the need for patient privacy and data security. Additionally, the book looks ahead to the potential future applications of AI in oncology, including predictive analytics, robotic surgery, and beyond. Artificial Intelligence Revolutionizing Cancer Care is an essential resource for medical professionals, researchers, and students seeking to understand the intersection of AI and oncology. It offers a visionary perspective on how cutting-edge technology is poised to enhance patient care and transform the fight against cancer.This bookfocuses on the critical intersection of artificial intelligence and cancer diagnosis within the healthcare sectoremphasizes the real-world impact of artificial intelligence in improving cancer detection, treatment, and overall patient carecovers artificial intelligence algorithms, machine learning techniques, medical image analysis, predictive modeling, and patient care applicationsexplores how artificial intelligence technologies enhance the patient's experience, resulting in better outcomes and reduced healthcare disparitiesprovides readers with an understanding of the mathematics underpinning machine learning models, including decision trees, support vector machines, and deep neural networksIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, biomedical engineering, and information technology. 280 pp. Englisch.
Lingua: Inglese
Editore: CRC Press 2025
Serie: Future Generation Information Systems, Libro 7 di 9. Libro 7 di 9 - Future Generation Information Systems
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Da: PBShop.store US, Wood Dale, U.S.A.PBShop.store US
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HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Editore: CRC Press 2025
Serie: Future Generation Information Systems, Libro 7 di 9. Libro 7 di 9 - Future Generation Information Systems
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HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the ever-evolving landscape of cancer treatment, the fusion of artificial intelligence (AI) with medical science marks a groundbreaking shift toward more precise, efficient, and personalized healthcare. Artificial Intelligence Revolutionizi…ng Cancer Care: Precision Diagnosis and Patient-Centric Healthcare delves into the transformative power of AI, offering a comprehensive exploration of its role in enhancing cancer diagnosis, treatment, and patient management. This edited volume brings together leading experts and researchers who illuminate the latest advancements in AI technologies applied to oncology. From machine learning algorithms that predict cancer progression to sophisticated imaging techniques that improve diagnostic accuracy, this book covers a spectrum of innovations reshaping cancer care. Key highlights include precision diagnosis, uncovering how AI-driven tools are revolutionizing the early detection and accurate classification of various cancer types, leading to better patient outcomes; patient-centric approaches, exploring the shift toward personalized medicine, where AI tailors treatment protocols to individual patient profiles, ensuring more effective and targeted therapies; and ethical and practical considerations, gaining insights into the ethical, practical, and regulatory challenges of integrating AI in healthcare, emphasizing the need for patient privacy and data security. Additionally, the book looks ahead to the potential future applications of AI in oncology, including predictive analytics, robotic surgery, and beyond. Artificial Intelligence Revolutionizing Cancer Care is an essential resource for medical professionals, researchers, and students seeking to understand the intersection of AI and oncology. It offers a visionary perspective on how cutting-edge technology is poised to enhance patient care and transform the fight against cancer.This bookfocuses on the critical intersection of artificial intelligence and cancer diagnosis within the healthcare sectoremphasizes the real-world impact of artificial intelligence in improving cancer detection, treatment, and overall patient carecovers artificial intelligence algorithms, machine learning techniques, medical image analysis, predictive modeling, and patient care applicationsexplores how artificial intelligence technologies enhance the patient's experience, resulting in better outcomes and reduced healthcare disparitiesprovides readers with an understanding of the mathematics underpinning machine learning models, including decision trees, support vector machines, and deep neural networksIt is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, biomedical engineering, and information technology.
