000			03083nam a22002057a 4500
005			20251022200940.0
008			251022b |||||||| |||| 00| 0 eng d
020			_a9780443328626
082			_a610.285 _bKUM
245			_aRevolutionizing medical systems using artificial intelligence: _ba breakthrough in healthcare
260			_a[s.l] _bAcademic Press _c2025
300			_axvi, 317p.
365			_aUSD _b185.00
500			_aHealthcare Management using Artificial Intelligence Background and research orientation of AI models for segmentation in Medical Imaging Benchmark Image and Clinical Datasets for Analysis in the Medical System Proactive Prognosis: Predicting the Course of Mental and Neurological Disorders with AI Exploring Brain Tumor Detection through Artificial Intelligence Empowering early detection: the role of Artificial Intelligence in breast cancer diagnosis AI based Disease Diagnosis Using Ultrasound Imaging Growth Optimization based SBLRNN model for Estimate Breast Cancer in IoT Healthcare Environment Detection of depression by utilizing Late Fusion of Sequential Actigraphy Features Developmental Pediatrics progression matched with Artificial Intelligence: A Growth Perspective in Healthcare AI in Precision Oncology: Advances in Cancer Treatment Impact of AI-bias in medical systems A Futuristic aspect towards Modern Health care system facilitated through Artificial Intelligence : A Comprehensive Perspective Satelliting Traditional to Smart Healthcare Advancement using Artificial Intelligence: A Paradigm Shift Routing Futuristic Slant- Redefining Welcoming the Evolution of Healthcare: A Transformative Change through AI and Robotics
520			_aRevolutionizing 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. (https://shop.elsevier.com/books/revolutionizing-medical-systems-using-artificial-intelligence/kumar/978-0-443-32862-6)
650			_aArtificial intelligence
700			_aKumar, Ashish [editor] _925745
700			_aSingh, Divya [editor] _925744
942			_cBK _2ddc
999			_c10406 _d10406