Skip to main content Skip to search
HKSYU Library

    Librarian View

    LEADER 02756cam a22004335i 4500
    001
    991008341817907546
    005
    20251024122153.0
    008
    241204s2025 gw a b 001 0 eng d
    010
     
     
    a| 2024951500
    020
     
     
    a| 9783111547589 q| (hardcover)
    020
     
     
    z| 9783111549729 q| (pdf)
    020
     
     
    z| 9783111549842 q| (epub)
    040
     
     
    a| DLC b| eng e| rda c| DLC d| HK-SYU
    042
     
     
    a| pcc
    050
     
    4
    a| R859.7.A78 b| M358 2025 9| kkl
    092
    0
     
    a| 610.28563 b| MAL 2025
    100
    1
     
    a| Malviya, Rishabha, e| author.
    245
    1
    0
    a| Artificial intelligence for healthcare : b| machine learning and diagnostics / c| Rishabha Malviya, Shivam Rajput, Mukesh Roy, Irfan Ahmad, Saurabh Srivastava.
    246
    3
     
    a| Machine learning and diagnostics.
    264
     
    1
    a| Berlin ; a| Boston : b| Walter de Gruyter GmbH, c| [2025]
    264
     
    4
    c| ©2025
    300
     
     
    a| xv, 270 pages : b| illustrations (some color) ; c| 25 cm
    336
     
     
    a| text b| txt 2| rdacontent
    337
     
     
    a| unmediated b| n 2| rdamedia
    338
     
     
    a| volume b| nc 2| rdacarrier
    490
    1
     
    a| De Gruyter series on the applications of mathematics in engineering and information sciences ; v| volume 19 x| 2626-5427
    504
     
     
    a| Includes bibliographical references and index.
    520
     
     
    a| The book Artificial Intelligence for Healthcare: Machine Learning and Diagnostics explores how AI and machine learning are reshaping healthcare, focusing on diagnosis, patient care, and treatment across various specialties. It covers AI applications in fields such as cardiovascular care, orthopedics, emergency medicine, ENT, and remote patient monitoring. Additionally, the book discusses AI's transformative role in brain tumor surgery, dentistry, and elder care, showcasing its power to personalize therapies, predict outcomes, and enhance outpatient efficiency. Key chapters examine AI in pathology, specifically in image analysis and digital pathology, and its expanding influence in maternal and fetal health. This essential guide provides healthcare practitioners, researchers, clinical experts, and students with insights into AI's practical uses and future potential, serving as a valuable reference for AI-driven diagnostic advancements and healthcare solutions. c| Back cover.
    650
     
    0
    a| Artificial intelligence x| Medical applications.
    650
     
    0
    a| Diagnosis x| Data processing.
    650
     
    0
    a| Diagnosis x| computer-assisted.
    700
    1
     
    a| Rajput, Shivam, e| author.
    700
    1
     
    a| Roy, Mukesh, e| author.
    700
    1
     
    a| Ahmad, Irfan, e| author.
    700
    1
     
    a| Srivastava, Saurabh, e| author.
    830
     
    0
    a| De Gruyter series on the applications of mathematics in engineering and information sciences ; v| volume 19
    910
     
     
    a| nlw b| kkl c| wsl
    998
     
     
    a| book b| 24-10-25
    945
     
     
    h| Principal l| location i| barcode y| id f| bookplate a| callnoa b| callnob n| GED213