000 | 03013cam a22004217i 4500 | ||
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003 | GSU | ||
005 | 20240715143727.0 | ||
008 | 221003s2020 xxka|||||b||||001 0|eng|d | ||
020 | _a9780128212592 (paperback) | ||
040 |
_beng _cGSU _drda |
||
050 | 0 |
_aR859.7.A78 _bART |
|
245 | 1 | 0 |
_aArtificial Intelligence in Medicine : _bTechnical Basis and Clinical Applications / _cedited by Lei Xing, Maryellen L. Giger, James K. Min. |
260 |
_aLondon, United Kingdom: _bElsevier; _c[2021] |
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264 | 1 | _c©2021 | |
300 |
_axxiv, 544 pages _bcoloured illustrations _c23 cm |
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336 |
_atext _btxt _2rdacontent |
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337 |
_aunmediated _bn _2rdamedia |
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338 |
_avolume _bnc _2rdacarrier |
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504 | _aIncludes bibliographical references and index. | ||
520 | _aArtificial Intelligence Medicine: Technical Basis and Clinical Applications presents a comprehensive overview of the field, ranging from its history and technical foundations, to specific clinical applications and finally to prospects. Artificial Intelligence (AI) is expanding across all domains at a breakneck speed. Medicine, with the availability of large multidimensional datasets, lends itself to strong potential advancement with the appropriate harnessing of AI. The integration of AI can occur throughout the continuum of medicine: from basic laboratory discovery to clinical application and healthcare delivery. Integrating AI within medicine has been met with both excitement and scepticism. By understanding how AI works, and developing an appreciation for both limitations and strengths, clinicians can harness its computational power to streamline workflow and improve patient care. It also provides the opportunity to improve upon research methodologies beyond what is currently available using traditional statistical approaches. On the other hand, computers scientists and data analysts can provide solutions, but often lack easy access to clinical insight that may help focus their efforts. This book provides vital background knowledge to help bring these two groups together, and to engage in more streamlined dialogue to yield productive collaborative solutions in the field of medicine. | ||
650 | 7 |
_aArtificiell intelligence _0https://id.kb.se/term/sao/Artificiell%20intelligens _2sao |
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650 | 7 |
_aMedicine _0https://id.kb.se/term/sao/Medicin _2sao |
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650 | 7 |
_aRobottechnic _0https://id.kb.se/term/sao/Robotteknik _2sao |
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650 | 0 | _aRobotics in medicine. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 |
_aArtificial intelligence _xMedical applications. |
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650 | 2 | _aArtificial Intelligence | |
650 | 7 |
_aArtificial intelligence. _2fast |
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650 | 7 |
_aRobotics in medicine. _2fast |
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650 | 7 |
_aArtificial intelligence _xMedical applications. _2fast |
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650 | 0 | _aArtificial intelligence | |
650 | 0 | _aMedicine | |
650 | 0 | _aRobotics | |
700 | 1 |
_aXing, Lei _4editor |
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700 | 1 |
_aGiger, Maryellen L. _4editor |
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700 | 1 |
_aMin, James K. _4editor |
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942 |
_2lcc _cBK _hR859.7.A78 _iART _kR _mART _n0 |
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999 |
_c2180 _d2180 |