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{ "item_title" : "Health Informatics Using Artificial Intelligence", "item_author" : [" Prabhpreet Kaur", "Amandeep Kaur "], "item_description" : "In the age of digital healthcare, medical imaging and disease diagnostics are being transformed by artificial intelligence. A thorough examination of state-of-the-art Computer-Aided Diagnosis (CAD) methods is provided by this book, which combines conventional machine learning, deep learning architectures, and cutting-edge technologies like generative AI.This book offers a critical analysis of several Convolutional Neural Network (CNN) models using benchmark datasets in a systematic review that follows the PRISMA methodology. It presents an improved diagnostic framework that is appropriate for real-time clinical applications since it delivers excellent accuracy with less processing complexity. This work is a vital resource for AI researchers, doctors, and students working at the nexus of intelligent computing and healthcare, with a particular emphasis on model evaluation, validation techniques, and real-world implementation. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/1/03/646/944/1036469441_b.jpg", "price_data" : { "retail_price" : "120.95", "online_price" : "120.95", "our_price" : "120.95", "club_price" : "120.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Health Informatics Using Artificial Intelligence|Prabhpreet Kaur

Health Informatics Using Artificial Intelligence

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Overview

In the age of digital healthcare, medical imaging and disease diagnostics are being transformed by artificial intelligence. A thorough examination of state-of-the-art Computer-Aided Diagnosis (CAD) methods is provided by this book, which combines conventional machine learning, deep learning architectures, and cutting-edge technologies like generative AI.

This book offers a critical analysis of several Convolutional Neural Network (CNN) models using benchmark datasets in a systematic review that follows the PRISMA methodology. It presents an improved diagnostic framework that is appropriate for real-time clinical applications since it delivers excellent accuracy with less processing complexity. This work is a vital resource for AI researchers, doctors, and students working at the nexus of intelligent computing and healthcare, with a particular emphasis on model evaluation, validation techniques, and real-world implementation.

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Details

  • ISBN-13: 9781036469443
  • ISBN-10: 1036469441
  • Publisher: Cambridge Scholars Publishing
  • Publish Date: April 2026
  • Dimensions: 8 x 6 x 0.7 inches
  • Shipping Weight: 1 pounds
  • Page Count: 225

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