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    1. Medicin
    2. Omvårdnad och medicinska stödfunktioner
    3. Biomedicinsk teknik

    Medical Applications of Artificial Intelligence

    AvArvin Agah

    Inbunden, Engelska, 2026

    2 493 kr

    Slutsåld

    Beskrivning

    This new edition examines the intersection of artificial intelligence (AI) and medicine, showcasing how AI techniques assist medical professionals by making healthcare more accurate, less expensive, more available, and more efficient. The book presents a holistic perspective on AI in medicine, from foundational principles to advanced applications.Medical Applications of Artificial Intelligence, second edition, delivers up-to-date coverage of diverse AI applications across healthcare domains including disease detection and diagnosis, medical imaging, surgery, drug development, healthcare administration, electronic health records, personalized medicine, telehealth, and patient monitoring. This edition provides updated coverage of AI applications in medicine, reflecting the significant advancements that have occurred in recent years. It incorporates the latest research and developments in clinical decision support systems, medical imaging analysis, and precision medicine approaches that have been further developed since the previous edition was published. It explains new AI techniques such as support vector machines, deep learning, and decision trees in accessible language, while providing extensive references for readers seeking deeper knowledge. It provides a broad international perspective on medical applications of AI and emphasizes that these systems are designed to assist medical professionals—not replace them. This version also includes significantly expanded information on available resources in scientific journals, national and international conferences, and academic programs of study that are focused on applications of AI to medicine.This book is intended for those with expertise in AI who are interested in applying their knowledge to medical domains, and to those with expertise in medicine who are interested in enhancing their medical efforts using AI.

    Produktinformation

    • Utgivningsdatum:2026-11-16
    • Mått:178 x 254 x undefined mm
    • Format:Inbunden
    • Språk:Engelska
    • Antal sidor:456
    • Upplaga:2
    • Förlag:Taylor & Francis Ltd
    • ISBN:9781041215189

    Utforska kategorier

    • Biomedicinsk teknik inom Medicin
    • Biologi inom Naturvetenskap och teknik
    • Artificiell intelligens inom Data och IT

    Mer om författaren

    Dr Arvin Agah is Charles E. & Mary J. Spahr Professor of Electrical Engineering and Computer Science at the University of Kansas, which he joined in 1997. He served as the Dean of Engineering from 2018 to 2024 and Associate Dean for Research and Graduate Programs from 2012 to 2018. His research interests include medical applications of artificial intelligence (AI), applied AI, and autonomous mobile robots. He has received multiple honors for his teaching excellence, including two university-wide awards.

    Innehållsförteckning

    • Chapter 1 Introduction to Medical Applications of Artificial Intelligence Chapter 2 Introduction to Machine Learning Chapter 3 Web-IntelliGenes: A Reproducible, Replicable, and Transparent Application of Artificial Intelligence and Machine Learning for Predictive Medicine Chapter 4 A Survey of Machine Learning Prediction of Hypoglycemia for Type 1 Diabetes Chapter 5 MicroRNA Target Prediction: 20+ Years and Two Strings Chapter 6 Lightweight Classification of Swallowing–Respiratory Coordination Using Bayesian Changepoint Detection Chapter 7 Application of Reinforcement-Based Learning Feature Selection for Early Detection of Alzheimer’s Disease Using Speech Chapter 8 The Role of Artificial Intelligence in Next-Generation Drug Discovery Chapter 9 AI-Powered Virtual Cell Chapter 10 Multimodal AI in Precision Medicine: Integrating EHR, Imaging, and Omics Data Chapter 11 Artificial Intelligence in Non-Small Cell Lung Cancer: Diagnosis, Prognosis, and Management Chapter 12 Multimodal Artificial Intelligence for Lung Cancer Screening: A Comprehensive Review of Deep Learning Approaches Chapter 13 Trans-amplifying (TA) mRNA Vaccines: A New Paradigm in Combating Infections and Cancers Chapter 14 Label Challenges in Breast Cancer AI: Noise, Bias, Uncertainty, and Limited Annotations Chapter 15 Health Digital Twin Applications: Disease Domains, Techniques, and Related Methods Chapter 16 Digital Health Programs for Sustainable Development: Insights from National and International Initiatives Chapter 17 Alzheimer’s Disease Prediction Using Brain MRI: Emphasis on Ensemble Learning Chapter 18 Learning-Based Image Registration Chapter 19 Representation Learning for ECG Data: Variational Autoencoders, Contrastive Learning, and Transformer Models Chapter 20 Artificial Intelligence in Aesthetic and Procedural Dermatology: Multimodal Imaging, Decision Support, and Outcome Optimization Chapter 21 Comparative Analysis of Linear and Nonlinear Stochastic Models for Real-Time Soft Tissue Characterisation Chapter 22 Artificial Intelligence and Computational Medicine: A Hands-on Approach Chapter 23 Artificial Intelligence in Modern Surgery: Clinical Applications, Education, and Health System Impact Chapter 24 How to Get to True Robotic Surgery and Keep the Surgeon in the Loop: Cobotics, Autonomy and Artificial Intelligence Surgery Chapter 25 Importance of Clinically Adequate Labelling in Surgical Phase Detection of Laparoscopic Cholecystectomy Procedures Chapter 26 Transforming Healthcare with Motion Capture and AI: From Medical Training to Movement Disorder Diagnosis Chapter 27 Application of Machine Learning and Artificial Intelligence in Personalized Gait Training After Stroke Chapter 28 Generative AI Chatbots for Symptoms of Anxiety, Depression, and Loneliness Chapter 29 Integrating Artificial Intelligence and Machine Learning into Palliative and End-of-Life Care Chapter 30 Resources on Medical Applications of Artificial Intelligence