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008			220917s2022 sz | s |||| 0|eng d
020			_a9783031001192
024	7		_a10.1007/978-3-031-00119-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aR859.7.A78 _b2022 EB
245	0	0	_aArtificial Intelligence/Machine Learning in Nuclear Medicine and Hybrid Imaging _cedited by Patrick Veit-Haibach, Ken Herrmann
250			_aFirst edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XIV, 210 páginas) _b72 ilustraciones, 65 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
520			_aThis 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 cardio-vascular 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.
988			_aSpringer_Medicine_2022
650		7	_2embne _9421371 _aInteligencia artificial en medicina
650		7	_2embne _9138396 _aMedicina nuclear
700	1		_aVeit-Haibach, Patrick _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aHerrmann, Ken _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt _997893
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783031001185
776	0	8	_iPrinted edition: _z9783031001208
776	0	8	_iPrinted edition: _z9783031001215
776	0	8	_iPrinted edition: _z9783031030659
776	0	8	_iPrinted edition: _z9783031030956
776	0	8	_iPrinted edition: _z9783031031182
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-00119-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b09/2022 _dz _eIG _zSI