Revolutionizing Medical Systems using Artificial Intelligence A Breakthrough in Healthcare
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- Taschenbuch
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Form:Einzelkauf Download
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Sprache:Englisch
172,99 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
24.01.2025
Herausgeber
Ashish Kumar + weitereVerlag
Elsevier Science & Techn.Seitenzahl
330 (Printausgabe)
Dateigröße
17894 KB
Sprache
Englisch
EAN
9780443328633
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
- 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
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