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Livres en anglais > Médecine et services infirmiers > Médecine clinique et interne > Maladies et troubles > Oncologie > Radiothérapie > Machine Learning and Artificial Intelligence in Radiation Oncology

Machine Learning and Artificial Intelligence in Radiation Oncology

Name: Machine Learning and Artificial Intelligence in Radiation Oncology
Brand: Academic Press
SKU: 44830141
Price: 174.69 EUR
Availability: InStock
Author: Barry S. Rosenstein
ISBN: 9780128220016

A Guide for Clinicians

Barry S. Rosenstein

Tim Rattay

John Kang

Langue

Anglais

Livre numérique Adobe ePub DRM

Code Libristo: 44830141

Éditeurs Academic Press, décembre 2023

Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians is design... Description détaillée

Code Libristo: 44830141

428 b

174.69 € TVA incluse

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Machine Learning and Artificial Intelligence in Radiation Oncology: A Guide for Clinicians is designed for the application of practical concepts in machine learning to clinical radiation oncology. It addresses the existing void in a resource to educate practicing clinicians about how machine learning can be used to improve clinical and patient-centered outcomes. This book is divided into three sections: the first addresses fundamental concepts of machine learning and radiation oncology, detailing techniques applied in genomics; the second section discusses translational opportunities, such as in radiogenomics and autosegmentation; and the final section encompasses current clinical applications in clinical decision making, how to integrate AI into workflow, use cases, and cross-collaborations with industry. The book is a valuable resource for oncologists, radiologists and several members of biomedical field who need to learn more about machine learning as a support for radiation oncology. Presents content written by practicing clinicians and research scientists, allowing a healthy mix of both new clinical ideas as well as perspectives on how to translate research findings into the clinic Provides perspectives from artificial intelligence (AI) industry researchers to discuss novel theoretical approaches and possibilities on academic collaborations Brings diverse points-of-view from an international group of experts to provide more balanced viewpoints on a complex topic