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Medical Applications of Artificial Intelligence de Arvin Agah

Medical Applications of Artificial Intelligence

Editat de Arvin Agah
en Limba Engleză Paperback – 18 dec 2017
Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integrated into medicine as predicted. In order to succeed, medical and computational scientists must develop hybrid systems that can effectively and efficiently integrate the experience of medical care professionals with capabilities of AI systems.
After providing a general overview of artificial intelligence concepts, tools, and techniques, Medical Applications of Artificial Intelligence reviews the research, focusing on state-of-the-art projects in the field. The book captures the breadth and depth of the medical applications of artificial intelligence, exploring new developments and persistent challenges.
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Specificații

ISBN-13: 9781138072275
ISBN-10: 1138072273
Pagini: 526
Ilustrații: Approx. 74 equations; 65 Tables, black and white; 152 Illustrations, black and white
Dimensiuni: 178 x 254 x 35 mm
Greutate: 0.91 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press

Public țintă

Academic and Professional Practice & Development

Cuprins

Introduction to Medical Applications of Artificial Intelligence. Overview of Artificial Intelligence. An Overview of Prominent Machine Learning and Data Mining Methods with Example Applications to the Medical Domain. Introduction to Computational Intelligence Techniques and Areas of Their Applications in Medicine. Satisficing or the Right Information at the Right Time: Artificial Intelligence and Information Retrieval, a Comparative Study in Medicine and Law. Soft Tissue Characterization Using Genetic Algorithm. An Investigation on Support Vector Machines and Wavelet Transform in Electroencephalogram Signal Classification. Building Naïve Bayes Classifiers with High-Dimensional and Small-Sized Data Sets. Predicting Toxicity of Chemicals Computationally. Cancer Prediction Methodology Using an Enhanced Artificial Neural Network–Based Classifier and Dominant Gene Expression. A System for Melanoma Diagnosis Based on Data Mining. Implementation and Optimization of a Method for Retinal Layer Extraction and Reconstruction in Optical Coherence Tomography Images. Deep Learning for the Semiautomated Analysis of Pap Smears. A Penalized Fuzzy Clustering Algorithm with its Application in Magnetic Resonance Image Segmentation. Uncertainty, Safety, and Performance: A Generalizable Approach to Risk- Based (Therapeutic) Decision Making. Clinical Decision Support in Medicine: A Survey of Current State-of-the-Art Implementations, Best Practices, and Gaps. Fuzzy Naïve Bayesian Approach for Medical Decision Support. Approaches for Establishing Methodologies in Metabolomic Studies for Clinical Diagnostics. A Comparison of Seven Discretization Techniques Used for Rule Induction from Data on the Lazy Eye Vision Disorder. A Crash Introduction to Ambient Assisted Living. Intelligent Light Therapy for Older Adults: Ambient Assisted Living. Context Awareness for Medical Applications. Natural Language Processing in Medicine. Intelligent Personal Health Record. Application of Artificial Intelligence in Minimally Invasive Surgery and Artificial Palpation. Wearable Behavior Navigation Systems for First-Aid Assistance. Artificial Intelligence Approaches for Drug Safety Surveillance and Analysis. Artificial Intelligence Resources: Publications and Tools.

Descriere

Artificial Intelligence (AI) techniques have been successfully applied to the medical domain, and AI systems are being integrated into healthcare. Consistent and easily mass produced, AI systems can make providing healthcare more accurate, less expensive, more available, and more efficient. Organized into three sections—AI techniques, applications, and medical domains—this book covers the history, present, and future of AI systems in the medical system.