LEADER 00000cam a2200469Mi 4500 
001    on1257019940 
003    OCoLC 
005    20220702022102.0 
006    m        d         
007    cr ||||||||||| 
008    210618s2021    ts      ob    000 0 eng d 
020    9781681088419|q(electronic book) 
020    168108841X|q(electronic book) 
020    |z9781681088426 
035    (OCoLC)1257019940 
040    YDX|beng|cYDX|dN$T|dOCLCF|dOCLCO 
049    RIDW 
050  4 R859.7.A78 
082 04 610.285|223/eng/20220517 
090    R859.7.A78 
245 00 Current and future application of artificial intelligence 
       in clinical medicine /|cedited by Shigao Huang, Faculty of
       Health Science, University of Macau, Macau, China & Jie 
       Yang, Department of Computer and Information Science, 
       University of Macau, Macau, China. 
264  1 Sharjah :|bBentham Science Publishers,|c[2021] 
300    1 online resource 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file|2rdaft 
504    Includes bibliographical references. 
520    "Current and Future Application of Artificial Intelligence
       in Clinical Medicine presents updates on the application 
       of machine learning and deep learning techniques in 
       medical procedures. Chapters in the volume have been 
       written by outstanding contributors from cancer and 
       computer science institutes with the goal of providing 
       updated knowledge to the reader. Topics covered in the 
       book include 1) Artificial Intelligence (AI) applications 
       in cancer diagnosis and therapy, 2) Updates in AI 
       applications in the medical industry, 3) the use of AI in 
       studying the COVID-19 pandemic in China, 4) AI 
       applications in clinical oncology (including AI-based 
       mining for pulmonary nodules and the use of AI in 
       understanding specific carcinomas), 5) AI in medical 
       imaging. Each chapter presents information on related sub 
       topics in a reader friendly format.  The combination of 
       expert knowledge and multidisciplinary approaches 
       highlighted in the book make it a valuable source of 
       information for physicians and clinical researchers active
       in the field of cancer diagnosis and treatment 
       (oncologists, oncologic surgeons, radiation oncologists, 
       nuclear medicine physicians, and radiologists) and 
       computer science scholars seeking to understand medical 
       applications of artificial intelligence."--|cProvided by 
       publisher 
590    eBooks on EBSCOhost|bEBSCO eBook Subscription Academic 
       Collection - North America 
650  0 Artificial intelligence|xMedical applications.|0https://
       id.loc.gov/authorities/subjects/sh88003000 
650  7 Artificial intelligence|xMedical applications.|2fast
       |0https://id.worldcat.org/fast/817267 
655  4 Electronic books. 
700 1  Huang, Shigao,|eeditor. 
700 1  Yang, Jie,|0https://id.loc.gov/authorities/names/n83121577
       |eeditor. 
856 40 |uhttps://rider.idm.oclc.org/login?url=https://
       search.ebscohost.com/login.aspx?direct=true&scope=site&
       db=nlebk&AN=2949645|zOnline ebook via EBSCO. Access 
       restricted to current Rider University students, faculty, 
       and staff. 
856 42 |3Instructions for reading/downloading the EBSCO version 
       of this ebook|uhttp://guides.rider.edu/ebooks/ebsco 
901    MARCIVE 20231220 
948    |d202207013|cEBSCO|tEBSCOebooksacademic July NEW 6029
       |lridw 
994    92|bRID