null
Loading... Please wait...
FREE SHIPPING on All Unbranded Items LEARN MORE
Print This Page

Medical Minds and Machine Learning (Transforming Care with AI)

List Price: $166.99
SKU:
9781041212867
Quantity:
Minimum Purchase
25 unit(s)
  • Availability: Confirm prior to ordering
  • Branding: minimum 50 pieces (add’l costs below)
  • Check Freight Rates (branded products only)

Branding Options (v), Availability & Lead Times

  • 1-Color Imprint: $2.00 ea.
  • Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
  • Belly-Band Wrap: $2.50 ea. (full-color printed)
  • Set-Up Charge: $45 per decoration
FULL DETAILS
  • Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
  • Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
  • Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
  • RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
  • Product Details

    Author:
    Sandeep Kumar Mathivanan, Saurav Mallik, Basu Dev Shivahare, Sangeetha S.K.B., Shakila Basheer
    Format:
    Hardcover
    Pages:
    338
    Publisher:
    CRC Press (July 13, 2026)
    Imprint:
    CRC Press
    Language:
    English
    Audience:
    College/higher education
    ISBN-13:
    9781041212867
    Weight:
    27.875oz
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_261014043841043-20261014.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $166.99
    Country of Origin:
    United States
    Pub Discount:
    30
    As low as:
    $158.64
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
  • Overview

    A comprehensive guide to technologies and applications of AI in healthcare. It navigates through the foundational principles of machine learning, dives into real-world implementations such as radiology diagnostics, robotic surgery, and predictive analytics, and addresses key topics like NLP of EHRs and AI assisted drug discovery.