| 000 | 02496nam a22002895i 4500 | ||
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| 001 | 403237 | ||
| 003 | ES-MaUEC | ||
| 005 | 20240603113737.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 231029s2023 si | o |||| 0|eng d | ||
| 020 | _a9789819964727 | ||
| 024 | 7 |
_a10.1007/978-981-99-6472-7 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aBF1-990 _b2023 EB |
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| 245 | 1 | 0 |
_aArtificial Intelligence and Machine Learning in Healthcare _cedited by Dharmendra Kumar Yadav, Anamika Gulati |
| 250 | _a1st ed. 2023 | ||
| 264 | 1 |
_aSingapore _bSpringer International Publishing _c2023 |
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| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 505 | 0 | _aChapter 1. Impact and Requirement of IoT Devices in Healthcare -- Chapter 2. Technologies and Innovations for Smart Healthcare System in Society 5.0 -- Chapter 3. Artificial Intelligence in Mental Health: An Overview -- Chapter 4. The Role of Internet of Things (IoT) in Healthcare: Applications and Implementation. Chapter 5 -- Artificial Intelligence in Russia's Health Sector: An Analytical Perspective. | |
| 520 | _aThis book is about the use of artificial intelligence (AI) and machine learning in healthcare. AI and related technologies are increasingly prevalent in business and society and are beginning to be applied to healthcare. These technologies have the potential to transform many aspects of patient care, as well as administrative processes within provider, payer, and pharmaceutical organizations. There are already a number of research studies suggesting that AI can perform as well as or better than humans at key healthcare tasks, such as diagnosing disease. Today, algorithms are already outperforming radiologists at spotting malignant tumors and guiding researchers in how to construct cohorts for costly clinical trials. However, for a variety of reasons, the authors believe that it will be many years before AI replaces humans for broad medical process domains. Through this book, the authors describe both the potential that AI offers to automate aspects of care and some of the barriers to rapid implementation of AI in healthcare. | ||
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-99-6472-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Psychology_2023 | ||
| 999 |
_c403237 _d403237 |
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