Devarajan Harshitha Raghavan (25 results)
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Published by CRC Press, 2026
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
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Published by Taylor and Francis Ltd, 2026
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Published by CRC Press, 2026
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Published by CRC Press, 2026
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Published by Taylor & Francis Ltd, 2026
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Published by Taylor & Francis Ltd Jun 2026, 2026
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
- Softcover
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Taschenbuch. Condition: Neu. 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 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 book - focuses on the critical intersection of artificial intelligence and cancer diagnosis within the healthcare sector - emphasizes the real-world impact of artificial intelligence in improving cancer detection, treatment, and overall patient care - covers artificial intelligence algorithms, machine learning techniques, medical image analysis, predictive modeling, and patient care applications - explores how artificial intelligence technologies enhance the patient's experience, resulting in better outcomes and reduced healthcare disparities - provides readers with an understanding of the mathematics underpinning machine learning models, including decision trees, support vector machines, and deep neural networks It 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.
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)
Language: English
Published by CRC Press, 2025
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
- Hardcover
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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)
Language: English
Published by CRC Press, 2025
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
- Hardcover
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Language: English
Published by CRC Press, 2025
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
- Hardcover
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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)
Language: English
Published by CRC Press, 2025
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
- Hardcover
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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)
Language: English
Published by CRC Press, 2025
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
- Hardcover
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Language: English
Published by CRC Press, 2025
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
- Hardcover
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Language: English
Published by CRC Press, 2025
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
- Hardcover
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Language: English
Published by CRC Press, 2025
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
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Published by CRC Press, 2025
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
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Language: English
Published by CRC Press, 2025
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
- Hardcover
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Language: English
Published by Taylor & Francis Ltd, 2025
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
- Hardcover
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Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
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Language: English
Published by Taylor & Francis Ltd, London, 2026
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
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Paperback. Condition: new. Paperback. 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-C…entric 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 multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by Taylor & Francis Ltd, London, 2026
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
- Softcover
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Paperback. Condition: new. Paperback. 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-C…entric 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.
Language: English
Published by CRC Press, 2026
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
- Softcover
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Paperback. Condition: new. Paperback. 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-C…entric 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 Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Language: English
Published by CRC Press Feb 2025, 2025
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
- Hardcover
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Buch. Condition: 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 Revolutio…nizing 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.
Language: English
Published by CRC Press, 2025
Series: Future Generation Information Systems, Book 7 of 9. Book 7 of 9 - Future Generation Information Systems
- Hardcover
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Buch. Condition: 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 Revolutionizin…g 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.
