Artificial Intelligence in Medical Imaging Opportunities, Applications and Risks /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Ranschaert, Erik R. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Morozov, Sergey (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Algra, Paul R. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Radiology.; Computers.; Health informatics.; Imaging / Radiology.; Information Systems and Communication Service.; Health Informatics.

This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. A...

Πίνακας περιεχομένων:

• PART I: INTRODUCTION: Introduction: Game changers in radiology
• PART II: TECHNIQUES: The role of medical imaging computing, informatics and machine learning in healthcare
• History and evolution of A.I. in medical imaging
• Deep Learning and Neural Networks in imaging: basic principles
• PART III DEVELOPMENT of AI APPLICATIONS: Imaging biomarkers
• How to develop A.I. applications
• Validation of A.I. applications
• PART IV: BIG DATA IN RADIOLOGY: The value of enterprise imaging
• Data mining in radiology
• Image biobanks
• The quest for medical images and data
• Clearance of medical images and data
• Legal and ethical issues in AI
• PART V: CLINICAL USE OF A.I. IN RADIOLOGY: Pulmonary diseases
• Cardiac diseases
• Breast cancer
• Neurological diseases
• PART VI: IMPACT of A.I. on RADIOLOGY: Applications of A.I. beyond image analysis
• Value of structured reporting for A.I.
• The role of A.I. for clinical trials
• Market and economy of A.I.: evolution
• The role of an A.I. ecosystem for radiology
• Advantages and risks of A.I. for radiologists
• Re-thinking radiology.