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Revolutionizing Medical Systems using Artificial Intelligence: A Breakthrough in Healthcare

Editat de Ashish Kumar, Divya Singh
en Limba Engleză Paperback – 10 ian 2025
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
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Specificații

ISBN-13: 9780443328626
ISBN-10: 0443328625
Pagini: 330
Dimensiuni: 191 x 235 mm
Editura: ELSEVIER SCIENCE

Cuprins

  1. Healthcare Management using Artificial Intelligence
  2. Background and research orientation of AI models for segmentation in Medical Imaging
  3. Benchmark Image and Clinical Datasets for Analysis in the Medical System
  4. Proactive Prognosis: Predicting the Course of Mental and Neurological Disorders with AI
  5. Exploring Brain Tumor Detection through Artificial Intelligence
  6. Empowering early detection: the role of Artificial Intelligence in breast cancer diagnosis
  7. AI based Disease Diagnosis Using Ultrasound Imaging
  8. Growth Optimization based SBLRNN model for Estimate Breast Cancer in IoT Healthcare Environment
  9. Detection of depression by utilizing Late Fusion of Sequential Actigraphy Features
  10. Developmental Pediatrics progression matched with Artificial Intelligence: A Growth Perspective in Healthcare
  11. AI in Precision Oncology: Advances in Cancer Treatment
  12. Impact of AI-bias in medical systems
  13. A Futuristic aspect towards Modern Health care system facilitated through Artificial Intelligence : A Comprehensive Perspective
  14. Satelliting Traditional to Smart Healthcare Advancement using Artificial Intelligence: A Paradigm Shift Routing Futuristic Slant- Redefining
  15. Welcoming the Evolution of Healthcare: A Transformative Change through AI and Robotics