Artificial Intelligence Based Primary Care

Artificial Intelligence Based Primary Care
Author: Anthony C. Chang
Publisher: Academic Press
Total Pages: 0
Release: 2024-11
Genre:
ISBN: 9780443241246
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"Artificial Intelligence based Primary Care: Artificial Intelligence and Human Cognition in General Practice and Family Medicine" gives insight into the concepts and applications of artificial intelligence in primary care that is designed for general practice and family medicine clinicians. With a strong focus on the clinical aspects of artificial intelligence in primary care the reader is enabled to understand different potential use cases of AI within their practice, how to appraise these technologies and how to apply AI applications to real-world clinical scenarios. In 5 sections and 20 chapters, "Artificial Intelligence based Primary Care: Artificial Intelligence and Human Cognition in General Practice and Family Medicine" introduces Artificial intelligence in Primary care, it describes the applications of artificial intelligence, the implementation challenges and concludes with major takeaways and the future of artificial intelligence in primary care. In a special chapter, a day in the life of a General Practitioner is described. An extra compendium provides a recommended list of the Top 100 articles and best books on Artificial Intelligence. This book narrows the knowledge and expertise chasm between the data scientists and primary care clinicians and is a valuable resource for academics and researchers in artificial intelligence, primary care, family medicine, and all those who wish to broaden their knowledge in the allied field.

Artificial Intelligence in Healthcare

Artificial Intelligence in Healthcare
Author: Adam Bohr
Publisher: Academic Press
Total Pages: 385
Release: 2020-06-21
Genre: Computers
ISBN: 0128184396
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Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: David Riaño
Publisher: Springer
Total Pages: 431
Release: 2019-06-19
Genre: Computers
ISBN: 303021642X
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This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.

Primary Care

Primary Care
Author: Barbara Starfield
Publisher: Oxford University Press, USA
Total Pages: 284
Release: 1992
Genre: Medical
ISBN:
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This comprehensive work provides a lucid examination of the difficult problems that arise with the implementation of effective primary care. The book has four purposes: to help practitioners of primary care understand what they do and why; to provide a basis for the training of primary care practitioners; to stimulate research that will provide a more substantive basis for improvements in primary care; and to help policy makers understand the difficulties and challenges of primary care and its importance. In addition to discussing systems of primary care and alternative ways of evaluating them, the author addresses important issues such as practitioner-patient communication, information systems and medical records, referral processes, personnel, managed care, financing, quality assessment and community orientation. This unique volume provides a clear and valuable assessment of the basic concepts, issues and challenges in this increasingly important field.

Artificial Intelligence in Medical Imaging

Artificial Intelligence in Medical Imaging
Author: Erik R. Ranschaert
Publisher: Springer
Total Pages: 373
Release: 2019-01-29
Genre: Medical
ISBN: 3319948784
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This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

Computational Intelligence and Soft Computing Applications in Healthcare Management Science

Computational Intelligence and Soft Computing Applications in Healthcare Management Science
Author: Gul, Muhammet
Publisher: IGI Global
Total Pages: 322
Release: 2020-03-06
Genre: Medical
ISBN: 1799825825
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In today’s modernized world, the field of healthcare has seen significant practical innovations with the implementation of computational intelligence approaches and soft computing methods. These two concepts present various solutions to complex scientific problems and imperfect data issues. This has made both very popular in the medical profession. There are still various areas to be studied and improved by these two schemes as healthcare practices continue to develop. Computational Intelligence and Soft Computing Applications in Healthcare Management Science is an essential reference source that discusses the implementation of soft computing techniques and computational methods in the various components of healthcare, telemedicine, and public health. Featuring research on topics such as analytical modeling, neural networks, and fuzzy logic, this book is ideally designed for software engineers, information scientists, medical professionals, researchers, developers, educators, academicians, and students.

Artificial Intelligence in Clinical Practice

Artificial Intelligence in Clinical Practice
Author: Chayakrit Krittanawong
Publisher: Elsevier
Total Pages: 550
Release: 2023-09-29
Genre: Computers
ISBN: 0443156891
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Artificial Intelligence in Clinical Practice: How AI Technologies Impact Medical Research and Clinics compiles current research on Artificial Intelligence within medical subspecialties, helping practitioners with diagnosis, clinical decision-making, disease prediction, prevention, and the facilitation of precision medicine. The book defines the basic concepts of big data and AI in medicine and highlights current applications, challenges, ethical issues, and biases. Each chapter discusses AI applied to a specific medical subspecialty, including primary care, preventive medicine, general internal medicine, radiology, pathology, infectious disease, gastroenterology, cardiology, hematology, oncology, dermatology, ophthalmology, mental health, neurology, pulmonary, critical care, rheumatology, surgery, and OB-GYN. This is a valuable resource for clinicians, students, researchers and members of medical and biomedical fields who are interested in learning more about artificial intelligence technologies and their applications in medicine. Provides the history and overview of the various modalities of AI and their applications within each field of medicine Discusses current AI-based medical research, including landmark trials within each field of medicine Addresses the current knowledge gaps that clinicians commonly face that prevent the application of AI-based research to clinical practice Encompasses examples of specific cases and discusses challenges and biases associated with AI

Artificial Intelligence-based Healthcare Systems

Artificial Intelligence-based Healthcare Systems
Author: Manju
Publisher: Springer Nature
Total Pages: 208
Release: 2023-12-02
Genre: Computers
ISBN: 3031419251
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This book explores new applications in the field of science and technology for healthcare systems. The main focus of this book is to devise smart, efficient and robust solutions for the health care sector to serve the major population of rural areas. Artificial Intelligence-based Healthcare Systems encourages scientists, engineers, and scholars across the multiple disciplines to design smart intelligent innovations on rural healthcare issues and motivate to collaborate multiple ideas to design best solutions. It also helps the readers at various levels of knowledge to further enhance their understanding for new tools and smart solutions.

The Economics of Artificial Intelligence

The Economics of Artificial Intelligence
Author: Ajay Agrawal
Publisher: University of Chicago Press
Total Pages: 172
Release: 2024-03-05
Genre: Business & Economics
ISBN: 0226833127
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A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Future of Health Technology

Future of Health Technology
Author: Renata Glowacka Bushko
Publisher: IOS Press
Total Pages: 306
Release: 2002
Genre: Medical
ISBN: 9781586030919
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This text provides a comprehensive vision of the future of health technology by looking at the ways to advance medical technologies, health information infrastructure and intellectual leadership. It also explores technology creations, adoption processes and the impact of evolving technologies.