000			03678nam a22004455i 4500
999			_c381935 _d381935 _x1
001			381935
003			ES-MaUEC
005			20230102121942.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			220616s2022 si | s |||| 0|eng d
020			_a9789811912238
024	7		_a10.1007/978-981-19-1223-8 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aR859.7.A78 _b2022 EB
245	0	0	_aArtificial Intelligence in Medicine : _bApplications, Limitations and Future Directions _cedited by Manda Raz, Tam C. Nguyen, Erwin Loh
250			_aFirst edition 2022
264		1	_aSingapore _bSpringer Nature Singapore _c2022
300			_a1 recurso en línea (VIII, 258 páginas) _b1 ilustraciones
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_aPreface -- Chapter 1 Untangling the concept of Artificial Intelligence, Machine Learning, and Deep Learning -- Chapter 2 Overview of Artificial Intelligence in Medicine -- Chapter 3 Machine learning, deep learning and neural networks -- Chapter 4 Machine Learning in Medical Imaging - Clinical Applications and Challenges in Computer Vision -- Chapter 5 Artificial Intelligence in Medicine: Applications, Limitations and Future Directions -- Chapter 6 Current Applications of Machine Learning in Medicine: ART -- Chapter 7 Artificial Intelligence in Ophthalmology -- Chapter 8 Machine learning in laparoscopic surgery -- Section 3 Limitations & Ethics -- Chapter 9 Limitations -- Chapter 10 Privacy and Data Security Issues -- Chapter 11 Explainable AI.
520			_aThis book identifies Artificial Intelligence (AI) as a growing field that is being incorporated into many aspects of human life, including healthcare practice and delivery. The precision, automation, and potential of AI brings multiple benefits to the way disease is diagnosed, investigated and treated. Currently, there is a lack of any appreciable understanding of AI and this book provides detailed understandings, which include; foundational concepts, current applications, future challenges amongst most healthcare practitioners. The book is divided into four sections: basic concepts, current applications, limitations and future directions. Each section is comprised of chapters written by expert academics, researchers and practitioners at the intersection between AI and medicine. The purpose of the book is to promote AI literacy as an important component of modern medical practice. This book is suited for all readers as it requires no previous knowledge, it walks non-technical clinicians through the complex ideas and concepts in an easy to understand manner.
988			_aSpringer_Medicine_2022
650		7	_2embne _9421371 _aInteligencia artificial en medicina
700	1		_aRaz, Manda _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aNguyen, Tam C. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aLoh, Erwin _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789811912221
776	0	8	_iPrinted edition: _z9789811912245
776	0	8	_iPrinted edition: _z9789811912252
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-1223-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b09/2022 _dz _eIG _zSI