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Revolutionizing medical systems using artificial intelligence : a breakthrough in healthcare / Ashish Kumar and Divya Singh, editors.

Elsevier ScienceDirect eBook - Biomedical Science 2025 Available online

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Format:
Book
Contributor:
Kumar, Ashish, editor.
Singh, Divya, editor.
Language:
English
Subjects (All):
Artificial intelligence.
Physical Description:
1 online resource (417 pages)
Edition:
First edition.
Place of Publication:
London, England : Academic Press, [2025]
Summary:
Revolutionizing Medical Systems using Artificial Intelligence: A Breakthrough in Healthcare provides an overview of various machine learning and deep learning techniques, addressing the needs of patients and the necessity for medical aid at early stages of disease. The book reviews, analyzes, and compares the different methodologies utilized for the prediction and detection of diseases. In addition, it explores the possible deployment of these advancements in medical systems, from paper to practice. With the advent of technology, tele consultation, telemedicine, and mobile health care, it is now possible to provide continuous monitoring of the health of patients.This title fulfills the needs of connected healthcare systems, providing insights into the role of Artificial Intelligence in the prognosis, diagnosis, and analysis of several diseases. It will be a valuable resource for health professionals, scientists and researchers, health practitioners, students, and all those who wish to broaden their knowledge in the challenging field of artificial intelligence in medical systems and diseases.- Provides a wide range of coverage for various prediction and segmentation algorithms that are based on machine learning and deep learning technology- Covers various predictive and segmentation algorithms exploited by various medical personnel to improve the accuracy of treatment to the patients- Highlights improvements in quality and efficiency of medical decision-making in the early detection of critical diseases using AI
Notes:
Includes bibliographical references and index.
Description based on publisher supplied metadata and other sources.
Description based on print version record.
ISBN:
9780443328633
0443328633

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