E-Book, Englisch, 369 Seiten, eBook
Ranschaert / Morozov / Algra Artificial Intelligence in Medical Imaging
1. Auflage 2019
ISBN: 978-3-319-94878-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Opportunities, Applications and Risks
E-Book, Englisch, 369 Seiten, eBook
ISBN: 978-3-319-94878-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Weitere Infos & Material
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.