Artificial intelligence/machine learning in nuclear medicine and hybrid imaging:
Gespeichert in:
| Weitere beteiligte Personen: | , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham, Switzerland
Springer
[2022]
|
| Schlagwörter: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033844913&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=033844913&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| Umfang: | xiv, 210 Seiten Illustrationen, Diagramme |
| ISBN: | 9783031001185 |
Internformat
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Datensatz im Suchindex
| _version_ | 1819249557535457280 |
|---|---|
| adam_text | Part I 1 2 3 Technology Role and Influence of Artificial Intelligence in Healthcare, Hybrid Imaging, and Molecular Imaging.... Guido A. Davidzon and Benjamin Franc 3 Introduction to Machine Learning: Deflnitions and Hybrid Imaging Applications............................................ Jens Kleesiek 13 Radiomics in Nuclear Medicine, Robustness, Reproducibility, and Standardization...................................... Reza Rezai 29 4 Evolution of AI in Medical Imaging.............................................. Josh Schaefferkoetter 37 5 The Basic Principles of Machine Learning.................................... Joshua D. Kaggie, Dimitri A. Kessler, Chitresh Bhushan, Dawei Gui, and Gaspar Delso 57 Part II 6 Clinical Applications Imaging Biomarkers and Their Meaning for Molecular Imaging............................................................... Angel Alberich-Bayarri, Ana Jiménez-Pastor, and Irene Mayorga-Ruiz 83 7 Integration of Artificial Intelligence, Machine Learning, and Deep Learning into Clinically Routine Molecular Imaging............................................................................ 87 Geoffrey Currie and Eric Rohren 8 Imaging Biobanks for Molecular Imaging: How to Integrate ML/AI into Our Databases..........................109 Angel Alberich-Bayarri, Ana Jiménez-Pastor, Blanca Ferrer, María José Terol, and Irene Mayorga-Ruiz xiii
Contents xiv 9 Artificial Intelligence/Machine Learning in Nuclear Medicine.................................................................. 1 յ7 Sangwon Lee, Kyeong Таек Oh, Yong Choi, Sun K. Yoo, and Mijin Yun 10 AI/ML Imaging Applications in Body Oncology........................... 129 Robert Seifert and Peter Herhaus 11 Artificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging.................................................. 137 Robert J. H. Miller, Jacek Kwieciński, Damini Dey, and Piotr J. Slomka Part III Impact of AI and ML on Molecular Imaging and Theranostics 12 Artificial Intelligence Will Improve Molecular Imaging, Therapy and Theranostics. Which Are the Biggest Advantages for Therapy?.................................................................. 159 Georgios Kaissis and Rickmer Braren 13 Integrative Computational Biology, AI, and Radiomics: Building Explainable Models by Integration of Imaging, Omics, and Clinical Data.......................................................... 171 L Jurišiča 14 Legal and Ethical Aspects of Machine Learning: Who Owns the Data?................................................................ 191 Barbara Prainsack and Elisabeth Steindl 15 Artificial Intelligence and the Nuclear Medicine Physician: Clever Is as Clever Does................................................ 203 Roland Hustinx
Patrick Veit-Haibach · Ken Herrmann Editors Artificial Intelligenœ/Machine Learning in Nuclear Medicine and Hybrid Imaging This book includes detailed explanations of the underlying technologies and concepts used in Artificial Intelligence (AI) and Machine Learning (ML) in the context of nuclear medicine and hybrid imaging. A diverse team of authors, including pioneers in the field and respected experts from leading international institutions, share their insights, opinions and outlooks on this exciting topic. A wide range of clinical applications are discussed, from brain applications to body indications, as well as the applicability of AI and ML for cardiovascular conditions. The book also considers the potential impact of theranostics. To balance the technology-heavy and disease-specific applications, it also discusses ethical / legal issues, economic realities and the human factor, the physician. Though this discussion is not based on research and outcomes, it provides important insights into the ramifications of how AI and ML could transform Nuclear Medicine and Hybrid Imaging practice. As the first work highlighting the role of these concepts specifically in this field, rather than for medical imaging in general, this book offers a valuable resource for Nuclear Medicine Physicians, Radiologists, Physicists, Medical Imaging Administrators and Nuclear Medicine Technologists alike.
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| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| format | Book |
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| illustrated | Illustrated |
| indexdate | 2024-12-20T19:45:50Z |
| institution | BVB |
| isbn | 9783031001185 |
| language | English |
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| physical | xiv, 210 Seiten Illustrationen, Diagramme |
| publishDate | 2022 |
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| spellingShingle | Artificial intelligence/machine learning in nuclear medicine and hybrid imaging Nuclear Medicine Health Informatics Nuclear medicine Medical informatics Künstliche Intelligenz (DE-588)4033447-8 gnd Bildgebendes Verfahren (DE-588)4006617-4 gnd Nuklearmedizin (DE-588)4042770-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
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| title | Artificial intelligence/machine learning in nuclear medicine and hybrid imaging |
| title_auth | Artificial intelligence/machine learning in nuclear medicine and hybrid imaging |
| title_exact_search | Artificial intelligence/machine learning in nuclear medicine and hybrid imaging |
| title_full | Artificial intelligence/machine learning in nuclear medicine and hybrid imaging Patrick Veit-Haibach, Ken Herrmann, editors |
| title_fullStr | Artificial intelligence/machine learning in nuclear medicine and hybrid imaging Patrick Veit-Haibach, Ken Herrmann, editors |
| title_full_unstemmed | Artificial intelligence/machine learning in nuclear medicine and hybrid imaging Patrick Veit-Haibach, Ken Herrmann, editors |
| title_short | Artificial intelligence/machine learning in nuclear medicine and hybrid imaging |
| title_sort | artificial intelligence machine learning in nuclear medicine and hybrid imaging |
| topic | Nuclear Medicine Health Informatics Nuclear medicine Medical informatics Künstliche Intelligenz (DE-588)4033447-8 gnd Bildgebendes Verfahren (DE-588)4006617-4 gnd Nuklearmedizin (DE-588)4042770-5 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Nuclear Medicine Health Informatics Nuclear medicine Medical informatics Künstliche Intelligenz Bildgebendes Verfahren Nuklearmedizin Maschinelles Lernen Aufsatzsammlung |
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