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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
"AI in Medicine: Innovations in Diagnostics, Treatment Planning, and Personalized Care" explores the transformative impact of artificial intelligence and machine learning on modern healthcare. This comprehensive volume delves into the latest advancements in AI-powered diagnostics, highlighting how machine learning algorithms enhance the accuracy and speed of disease detection through medical imaging and genetic analysis. It also covers the pivotal role of AI in crafting personalized treatment plans by integrating vast datasets of patient information, predicting outcomes, and optimizing therapeutic strategies. With real-world case studies and future trends, the book provides an in-depth look at how AI is reshaping medical practice, improving patient outcomes, and paving the way for a more precise and personalized approach to healthcare.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
"AI in Medicine: Innovations in Diagnostics, Treatment Planning, and Personalized Care" explores the transformative impact of artificial intelligence and machine learning on modern healthcare. This comprehensive volume delves into the latest advancements in AI-powered diagnostics, highlighting how machine learning algorithms enhance the accuracy and speed of disease detection through medical imaging and genetic analysis. It also covers the pivotal role of AI in crafting personalized treatment plans by integrating vast datasets of patient information, predicting outcomes, and optimizing therapeutic strategies. With real-world case studies and future trends, the book provides an in-depth look at how AI is reshaping medical practice, improving patient outcomes, and paving the way for a more precise and personalized approach to healthcare.