Artificial intelligence (AI) and predictive technology are revolutionizing healthcare by enabling more accurate diagnoses, personalized treatment plans, and proactive patient care. They can forecast disease progression, predict patient readmission risks, identify individuals at high risk for conditions like sepsis or heart failure, and optimize treatment protocols based on individual patient characteristics. By shifting healthcare from a reactive to a predictive model, these technologies not only improve patient outcomes and reduce mortality rates but also significantly lower healthcare costs by preventing complications and reducing unnecessary procedures, ultimately creating a more efficient and effective healthcare ecosystem.
Artificial Intelligence for Predictive Healthcare: Towards Personalized Treatment and Disease Prevention delves into the algorithms, technologies, and applications that are driving this transformation of healthcare. Highlights include:
Bringing together the perspectives of professionals, researchers, and practitioners working at the intersection of technology and healthcare, the book reflects a shared belief that AI’s role in healthcare is not just about algorithms and data but about improving lives. From predicting disease outbreaks to creating tailored treatment plans, the book covers a range of applications. With real-world examples and case studies, it offers a roadmap to understanding AI’s potential to predict, personalize, and prevent health conditions.
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Dr. Syed Nisar Hussain Bukhari is an accomplished academician and researcher, currently serving as Scientist-D at the National Institute of Electronics and Information Technology (NIELIT), Srinagar-an institute under the Ministry of Electronics and Information Technology (MeitY), Government of India. He brings over twelve years of experience in teaching, research, and institutional leadership, with a specialized focus on Artificial Intelligence, Machine Learning, Deep Learning, and their interdisciplinary applications.
The book explores of how Artificial Intelligence―including Machine Learning, Deep Learning, and Generative AI―is being applied to healthcare. With real-world examples and case studies, it offers a roadmap to understanding AI's potential to predict, personalize, and prevent health conditions.
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Hardcover. Zustand: new. Hardcover. Artificial intelligence (AI) and predictive technology are revolutionizing healthcare by enabling more accurate diagnoses, personalized treatment plans, and proactive patient care. They can forecast disease progression, predict patient readmission risks, identify individuals at high risk for conditions like sepsis or heart failure, and optimize treatment protocols based on individual patient characteristics. By shifting healthcare from a reactive to a predictive model, these technologies not only improve patient outcomes and reduce mortality rates but also significantly lower healthcare costs by preventing complications and reducing unnecessary procedures, ultimately creating a more efficient and effective healthcare ecosystem.Artificial Intelligence for Predictive Healthcare: Towards Personalized Treatment and Disease Prevention delves into the algorithms, technologies, and applications that are driving this transformation of healthcare. Highlights include:Optimizing diagnosis and treatment plans with AIMachine learning and generative AI for cancer diagnosis and treatmentThe evolving role of healthcare professionals in smart healthcareHybrid machine learning algorithms for early prediction of diabetesBringing together the perspectives of professionals, researchers, and practitioners working at the intersection of technology and healthcare, the book reflects a shared belief that AIs role in healthcare is not just about algorithms and data but about improving lives. From predicting disease outbreaks to creating tailored treatment plans, the book covers a range of applications. With real-world examples and case studies, it offers a roadmap to understanding AIs potential to predict, personalize, and prevent health conditions. The book explores of how Artificial Intelligenceincluding Machine Learning, Deep Learning, and Generative AIis being applied to healthcare. With real-world examples and case studies, it offers a roadmap to understanding AI's potential to predict, personalize, and prevent health conditions. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781041137559
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Hardcover. Zustand: new. Hardcover. Artificial intelligence (AI) and predictive technology are revolutionizing healthcare by enabling more accurate diagnoses, personalized treatment plans, and proactive patient care. They can forecast disease progression, predict patient readmission risks, identify individuals at high risk for conditions like sepsis or heart failure, and optimize treatment protocols based on individual patient characteristics. By shifting healthcare from a reactive to a predictive model, these technologies not only improve patient outcomes and reduce mortality rates but also significantly lower healthcare costs by preventing complications and reducing unnecessary procedures, ultimately creating a more efficient and effective healthcare ecosystem.Artificial Intelligence for Predictive Healthcare: Towards Personalized Treatment and Disease Prevention delves into the algorithms, technologies, and applications that are driving this transformation of healthcare. Highlights include:Optimizing diagnosis and treatment plans with AIMachine learning and generative AI for cancer diagnosis and treatmentThe evolving role of healthcare professionals in smart healthcareHybrid machine learning algorithms for early prediction of diabetesBringing together the perspectives of professionals, researchers, and practitioners working at the intersection of technology and healthcare, the book reflects a shared belief that AIs role in healthcare is not just about algorithms and data but about improving lives. From predicting disease outbreaks to creating tailored treatment plans, the book covers a range of applications. With real-world examples and case studies, it offers a roadmap to understanding AIs potential to predict, personalize, and prevent health conditions. The book explores of how Artificial Intelligenceincluding Machine Learning, Deep Learning, and Generative AIis being applied to healthcare. With real-world examples and case studies, it offers a roadmap to understanding AI's potential to predict, personalize, and prevent health conditions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781041137559
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