Intelligence-based medicine artificial intelligence and human cognition in clinical medicine and healthcare / Anthony C. Chang.
| Author/creator | Chang, Anthony C. |
| Format | Electronic |
| Publication Info | London, United Kingdom ; San Diego, CA, United States : Academic Press is an imprint of Elsevier, [2020] |
| Description | xxvi, 521 pages : illustrations (chiefly color) ; 24 cm |
| Supplemental Content | Full text available from eBooks on EBSCOhost |
| Subjects |
| Contents | Machine generated contents note: I. Introduction to artificial intelligence -- 1. Basic Concepts of Artificial Intelligence -- Definitions -- Types of Artificial Intelligence -- Artificial Intelligence and Data Science -- The Human -- Machine Intelligence Continuum -- The Analytics Continuum -- Artificial Intelligence and the Neurosciences -- The Doctor's Brain and Machine Intelligence -- References -- 2. History of Artificial Intelligence -- Key People and Events -- Alan Turing and the Turing Machine -- The Dartmouth Conference -- Rosenblatt's Perceptron -- Key Epochs and Movements -- Good Old-fashioned Artificial Intelligence -- Computational Intelligence -- The Artificial Intelligence Winters -- References -- 3. History of Artificial Intelligence in Medicine -- Rule-based Expert Systems -- Other Artificial Intelligence Methodologies -- Failure of Adoption -- Ten Common Misconceptions of Artificial Intelligence in Medicine -- References -- Key Concepts -- II. Data science and artificial intelli' gence in the current era -- 4. Health-care Data and Databases -- Health-care Data -- Big Data -- Health-care Data Conundrum -- Health-care Data Management -- Data Processing and Storage -- Electronic Medical Record Adoption and Interoperability -- Health-care Databases -- Database-management Systems -- Relational Database -- Object-oriented Database -- Graph Database -- The Data-to-intelligence Continuum and Artificial Intelligence -- References -- 5. Machine and Deep Learning -- Introduction to Machine Learning -- Data Mining and Knowledge Discovery -- History and Current State of Machine Learning -- Machine Learning versus Conventional Programing -- Machine Learning Workflow -- Data Science in Biomedicine -- Programing Languages in Biomedical Data Science -- Classical Machine Learning -- Supervised Learning -- Unsupervised Learning -- Ensemble Learning -- Reinforcement Learning -- Neural Networks and Deep Learning -- Perceptron and Multilayer Perceptrons -- Deep Learning -- Autoencoder Neural Network -- Assessment of Model Performance -- Assessment Methods -- Evaluation of Regression Models -- Evaluation of Classification Models -- Fundamental Issues in Machine and Deep Learning -- Interpretability and Explainability -- Bias and Variance Trade-off -- Fitting -- Curse of Dimensionality -- Correlation versus Causation -- Machine versus Deep Learning -- References -- 6. Other Key Concepts in Artificial Intelligence -- Cognitive Computing -- Natural Language Processing -- Robotics -- Autonomous Systems -- Robotic Process Automation -- Other Key Technologies Related to Artificial Intelligence -- Augmented and virtual reality -- Blockchain -- Cloud -- Cybersecurity -- Internet of Things -- Key Issues Related to Artificial Intelligence -- Bias -- Ethics -- Safety -- Legal -- Key Concepts -- Ten Questions to Assess your Data Science and Artificial Intelligence Knowledge -- Ten Steps to Become More Knowledgeable in Artificial Intelligence in Medicine -- References -- III. The current era of artificial intelligence in medicine -- 7. Clinician Cognition and Artificial Intelligence in Medicine -- The Rationale for Intelligence-based Medicine -- Adoption of Artificial Intelligence in Medicine: The Challenges Ahead -- Clinician Cognition and Artificial Intelligence in Medicine -- Current Artificial Intelligence in Medicine Applications -- References -- 8. Artificial Intelligence in Subspecialties -- The Present State of Artificial Intelligence in Subspecialties -- The subspecialties and artificial intelligence strategy and applications -- Artificial Intelligence Applications for all Subspecialties -- Anesthesiology -- Cardiology (Adult and Pediatric) and Cardiac Surgery -- Critical Care Medicine -- Dermatology -- Emergency Medicine -- Endocrinology -- Gastroenterology -- Global and Public Health/Epidemiology -- Hematology -- Infectious Disease -- Internal and Family Medicine/Primary Care -- Nephrology -- Neurosciences (Neurology/Neurosurgery and Psychiatry/Psychology) -- Obstetrics/Gynecology -- Oncology -- Ophthalmology -- Pathology -- Pediatrics -- Pulmonology -- Radiology -- Rheumatology -- Surgery -- Dentistry -- Digital Health -- Genomic Medicine and Precision/Personalized Medicine -- Physical Medicine and Rehabilitation -- Regenerative Medicine -- Veterinary Medicine -- Medical Education and Training -- Nursing -- Healthcare Administration -- References -- 9. Implementation of Artificial Intelligence in Medicine -- Key Concepts -- Assessment of Artificial Intelligence Readiness in Health-care Organizations -- Ten Elements for Successful Implementation of Artificial Intelligence in Medicine -- Ten Obstacles to Overcome for Implementation of Artificial Intelligence in Medicine -- References -- IV. The future of artificial intelligence and application in medicine -- 10. Key Concepts of the Future of Artificial Intelligence -- 5G -- Augmented and Virtual Reality -- Blockchain and Cybersecurity -- Brain -- Computer Interface -- Capsule Network -- Cloud Artificial Intelligence -- Edge Computing -- Embedded Artificial Intelligence (or Internet of Everything) -- Fuzzy Cognitive Maps -- Generative Query Network -- Hypergraph Database -- Low-shot Learning -- Neuromorphic Computing -- Quantum Computing -- Recursive Cortical Network -- Spiking Neural Network (SNN) -- Swarm Intelligence -- Temporal Convolutional Nets -- Transfer Learning -- Data and Databases -- References -- 11. The Future of Artificial Intelligence in Medicine -- Key Concepts -- References. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Issued in other form | Electronic version: Chang, Anthony C. Intelligence-based medicine. Amsterdam : Academic Press, 2020 9780128233382 |
| Genre/form | Electronic books. |
| LCCN | 2020300760 |
| ISBN | 9780128164624 paperback |
| ISBN | 012816462X paperback |
| ISBN | electronic publication |
| ISBN | 9780128233375 hardcover |
| ISBN | 0128233370 hardcover |
| ISBN | electronic publication |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |