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Artificial Intelligence in Radiology: Unlocking the Power of AI for Medical Imaging
| AUTHOR | Guardelli, Enrico |
| PUBLISHER | Independently Published (11/03/2024) |
| PRODUCT TYPE | Paperback (Paperback) |
Description
In recent years, artificial intelligence has transformed medical radiology by enabling rapid and accurate analysis of large volumes of data, detecting patterns invisible to the human eye. This book explores the AI technologies that are reshaping the practice of radiology, with real-world examples and case studies that show how algorithms and neural networks help diagnose diseases earlier and improve the work of healthcare professionals. With applications in CT, MRI, and ultrasound, AI is bringing a new dimension to diagnostic imaging. Aimed at physicians, radiologists, researchers, and medical technology enthusiasts, the book addresses the trends, benefits, challenges, and ethical issues of AI in radiology, empowering readers to lead this digital revolution in medicine.
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Product Format
Product Details
ISBN-13:
9798345410554
Binding:
Paperback or Softback (Trade Paperback (Us))
Content Language:
English
More Product Details
Page Count:
198
Carton Quantity:
40
Product Dimensions:
6.00 x 0.42 x 9.00 inches
Weight:
0.60 pound(s)
Country of Origin:
US
Subject Information
BISAC Categories
Medical | Informatics
Descriptions, Reviews, Etc.
publisher marketing
In recent years, artificial intelligence has transformed medical radiology by enabling rapid and accurate analysis of large volumes of data, detecting patterns invisible to the human eye. This book explores the AI technologies that are reshaping the practice of radiology, with real-world examples and case studies that show how algorithms and neural networks help diagnose diseases earlier and improve the work of healthcare professionals. With applications in CT, MRI, and ultrasound, AI is bringing a new dimension to diagnostic imaging. Aimed at physicians, radiologists, researchers, and medical technology enthusiasts, the book addresses the trends, benefits, challenges, and ethical issues of AI in radiology, empowering readers to lead this digital revolution in medicine.
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