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020 _a9781260452730
_q(pbk.) :
020 _a1260452735
035 _a(OCoLC)on1158159217
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_dOCLCO
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042 _alccopycat
050 4 _aRD29.7
_b.H37 2021
082 0 4 _a617.0028563
100 1 _aHashimoto, Daniel
_c(Associate Director of Research)
_eautor
_9680437
245 1 0 _aArtificial Intelligence in Surgery :
_bUnderstanding the Role of AI in Surgical Practice
_cDaniel A. Hashimoto
264 1 _aNew York
_bMcGraw-Hill Medical
_c2021
264 4 _c2021
300 _a409 páginas
336 _atexto
_2rdacontent
_btxt
337 _asin mediación
_2rdamedia
_bn
338 _avolumen
_2rdacarrier
_bnc
504 _aIncluye índice
505 _a
520 _aMachine learning, neural networks, and computer vision in surgical education, practice, and research will soon be de rigueur. Written for surgeons without a background in math or computer science, Artificial Intelligence in Surgery provides everything you need to evaluate new technologies and make the right decisions about bringing AI into your practice. Comprehensive and easy to understand, this first-of-its-kind resource illustrates the use of AI in surgery through real-life examples. It covers the issues most relevant to your practice, including: Neural Networks and Deep Learning. Natural Language Processing. Computer Vision. Surgical Education and Simulation. Preoperative Risk Stratification. Intraoperative Video Analysis. OR Black Box and Tracking of Intraoperative Events. Artificial Intelligence and Robotic Surgery. Natural Language Processing for Clinical Documentation. Leveraging Artificial Intelligence in the EMR. Ethical Implications of Artificial Intelligence in Surgery. Artificial Intelligence and Health Policy. Assessing Strengths and Weaknesses of Artificial Intelligence Research. Finally, the appendix includes a detailed glossary of terms and important learning resources and techniques?all of which helps you interpret claims made by studies or companies using AI.
650 7 _aCirugía
_2embne
_9138499
650 7 _aTecnología médica
_2embne
_9150466
650 7 _aInteligencia artificial en medicina
_2embne
_9421371
942 _2lcc
998 _b01/2022
_da
_eb
_zSI