Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems - Agarwal, Deepshikha; Tripathi, Khushboo; Krishen, Kumar; (ed.) - Prospero Internet Bookshop

Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems
 
Product details:

ISBN13:9781032366456
ISBN10:1032366451
Binding:Paperback
No. of pages:324 pages
Size:254x178 mm
Weight:600 g
Language:English
Illustrations: 175 Illustrations, black & white; 175 Halftones, black & white; 33 Tables, black & white
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Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems

 
Edition number: 1
Publisher: CRC Press
Date of Publication:
 
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Short description:

This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advance techniques like wearable technologies, image processing in the sector. It focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects.

Long description:

This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector.


Features:



  • Focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects

  • Presents the application of artificial intelligence in medical imaging, fractionalization of early lung tumour detection using a low intricacy approach, etc

  • Discusses an artificial intelligence perspective on wearable technology

  • Analyses cardiac dynamics and assessment of arrhythmia by classifying heartbeat using electrocardiogram (ECG)

  • Elaborates machine learning models for early diagnosis of depressive mental affliction

This book serves as a reference for students and researchers analyzing healthcare data. It can also be used by graduate and post graduate students as an elective course.

Table of Contents:

1. Artificial Intelligence (AI) in Healthcare: Issues, Applications and Future. 2 Artificial Intelligence in Medical Imaging for Developing Countries: Challenges and Opportunities. 3. Artificial Intelligence in Medical Imaging. 4. Medical Image Fusion: Transforms Techniques Based Comparative Analysis for Brain Disease. 5. Artificial intelligence and medical visualization. 6. Machine Learning Models for Early Diagnosis of Depressive Mental Affliction. 7. Non-Invasive Technique of Breast Cancer Diagnosis Using Interpretation of Fractal Dimension of Cells Nuclei in Buccal Epithelium. 8. Fractionalization of Early Lung Tumour Regions and Detection Using a Low Intricacy Approach. 9. Reshaping the Pathology: An AI Perspective. 10. Influence of community mobility habits on the COVID-19 pandemic: A case study on India. 11. Impact of Social Media Platforms on Vaccination Drive during COVID-19 Pandemic in India. 12. Pneumonia Detection using Chest X-Ray with the help of Deep Learning. 13. AI Technique from Type CN2 Rule Induction for Industry 4.0 with Healthcare Problem. 14. Artificial Intelligence Issues in Healthcare. 15. Wearable Technologies in AI and Smart HealthCare. 16. A Heterogeneous Medical Imaging Social Security Analysis in Wireless Sensor Network. 17. Wearable Technology: Concepts, Classification and Applications. 18. Analysis Of Cardiac Dynamics And Assessment Of Arrhythmia By Classifying Heartbeat Using Electrocardiogram