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Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
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Book Description
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
Author: Adam Bohr
Publisher: Academic Press
ISBN: 0128184396
Category : Computers
Languages : en
Pages : 385
Get Book Here
Book Description
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
Author: Mr. Gunawan Widjaja
Publisher: Xoffencerpublication
ISBN: 8119534042
Category : Computers
Languages : en
Pages : 251
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Book Description
The extensive adoption of artificial intelligence (AI) that is presently taking place in the medical industry is expected to have a significant positive impact on many facets of patient care, diagnostics, therapies, and healthcare management. The Most Important Applications of Artificial Intelligence in Healthcare X-rays, magnetic resonance imaging (MRI), and computed tomography (CT) scans are only some examples of the several kinds of medical images that can be examined by artificial intelligence algorithms to assist radiologists in making diagnosis. Deep learning techniques enable artificial intelligence systems to discover patterns and irregularities with a high degree of accuracy, which can help in the early detection of diseases like cancer as well as improve the efficiency of visual interpretation. By analyzing patient records, data, and symptoms, AI can assist medical professionals in making accurate diagnoses. Using machine learning algorithms, intricate relationships hidden within massive datasets can be unearthed, making it possible to arrive at more accurate diagnoses. AI-powered decision support systems can help practitioners with therapy suggestions by using the most recent findings from medical research as well as data particular to the individual patient. The medication development process can be sped up with the assistance of AI by sorting through mountains of data derived from many sources such as biological databases, scientific articles, and the results of clinical trials. By utilizing machine learning models to predict the efficacy and side effects of potential drug candidates, the amount of time and money needed to develop novel medicines can be cut in half. This is a significant improvement. Patients can benefit from chatbots and virtual assistants powered by AI in a number of ways, including receiving individualized health information, having their questions answered, and receiving recommendations for the next steps to take. These kinds of tools can assist medical professionals in prioritizing patients in accordance with their symptoms, recommending self-care practices, and scheduling appointments.
Author: Amit Vyas
Publisher: Xoffencerpublication
ISBN: 8119534239
Category : Computers
Languages : en
Pages : 226
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Book Description
Homo sapiens have always had the goal of finding a means to upgrade and improve their living situations in a manner that is in line with how they see life. This is parallel to the history of our ancestors, which covers a thousand miles, beginning with the caveman who struggled only to find food and finishing with the voyage that embarked upon the greatest blessing as the evolution of the human mind to critically analyze the environment and surrounding. The journey began with the caveman and ended with the evolution of the human mind to critically analyze the environment and surrounding. The concept of "Artificial Intelligence" (AI) has allowed mankind to leap into an environment that is entirely diversified and imaginative. This is an environment in which we can separate the typical industrial revolution from the dilemma of the information technology revolution. A computerized information technology-based system that is capable of doing many activities simultaneously in order to integrate a large number of algorithmic pieces of data and consult with either built-in or internet data bases in order to provide you with answers to your questions. When we talk about artificial intelligence, we are referring to the following: 3. At this point in time, artificial intelligence has permeated every imaginable facet of our existence, resulting in an abundance of time-saving inventions and straightforward answers to issues that were previously intractable. As a direct consequence of this, our lives have been forced into comfort zones that are apparently more pleasurable. The newly found corporate empire that is healthcare is quickly getting connected with information technology on an ever-increasing scale across all of its domains. This is not just true for the healthcare industry but certainly for other fields as well. When it comes to addressing "AI in healthcare," it appears that a situation that is very similar to the one that arises when discussing any new notion or concept. This is something that is always important for a productive dialogue and progress. However, as of right now, there is a little stronger lean toward the latter group than there is towards the former group. 1 | P a ge Equipment that interacts with hospital information and management systems will simply take in all of the data based on the clinical presentation and will provide you with beepers, flashers, and changing color codes to alert you to issues about patients in real time. Not only has the movement of data between and within departments become far quicker than it was in the past, but the machinery that interacts with these systems also gives you access to the data in real time. The next stage was to supply the treating physicians with an algorithmic method that would aid in the interpretation of the data. At the same time, the material was going to be provided to consultants and the necessary data repositories so that it could be better understood. In a word, the purpose of this cutting-edge human-machine interface was to facilitate the management of the most optimal medical judgments that could possibly be made. Not only does the system prevent the laborious entering of data, but it also has the potential to provide feedback to interventions along with a time line. This is all made possible by the system's use of barcodes. In the case that a mistake was made, this helps to reduce the number of comments that need to be made, which can be verbally conflicting and take up a lot of time.
Author: David D. Luxton
Publisher: Academic Press
ISBN: 0128007923
Category : Psychology
Languages : en
Pages : 309
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Book Description
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. - Summarizes AI advances for use in mental health practice - Includes advances in AI based decision-making and consultation - Describes AI applications for assessment and treatment - Details AI advances in robots for clinical settings - Provides empirical data on clinical efficacy - Explores practical issues of use in clinical settings
Author: David Riaño
Publisher: Springer
ISBN: 303021642X
Category : Computers
Languages : en
Pages : 431
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Book Description
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.
Author: K.C. Santosh
Publisher: CRC Press
ISBN: 0429642490
Category : Computers
Languages : en
Pages : 251
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Book Description
Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community. The book discusses varied topics pertaining to advanced or up-to-date techniques in medical imaging using artificial intelligence (AI), image recognition (IR) and machine learning (ML) algorithms/techniques. Further, coverage includes analysis of chest radiographs (chest x-rays) via stacked generalization models, TB type detection using slice separation approach, brain tumor image segmentation via deep learning, mammogram mass separation, epileptic seizures, breast ultrasound images, knee joint x-ray images, bone fracture detection and labeling, and diabetic retinopathy. It also reviews 3D imaging in biomedical applications and pathological medical imaging.
Author: Harvard Business Review
Publisher: HBR Insights
ISBN: 9781633697898
Category : Business & Economics
Languages : en
Pages : 160
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Book Description
Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.
Author: Philip C. Jackson
Publisher: Courier Dover Publications
ISBN: 0486832864
Category : Computers
Languages : en
Pages : 545
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Book Description
Can computers think? Can they use reason to develop their own concepts, solve complex problems, understand our languages? This updated edition of a comprehensive survey includes extensive new text on "Artificial Intelligence in the 21st Century," introducing deep neural networks, conceptual graphs, languages of thought, mental models, metacognition, economic prospects, and research toward human-level AI. Ideal for both lay readers and students of computer science, the original text features abundant illustrations, diagrams, and photographs as well as challenging exercises. Lucid, easy-to-read discussions examine problem-solving methods and representations, game playing, automated understanding of natural languages, heuristic search theory, robot systems, heuristic scene analysis, predicate-calculus theorem proving, automatic programming, and many other topics.
Author: Diego Oliva
Publisher: Springer Nature
ISBN: 3030697444
Category : Technology & Engineering
Languages : en
Pages : 594
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Book Description
This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.
Author: Parag Suresh Mahajan MD
Publisher: Parag Suresh Mahajan
ISBN: 9789353516833
Category : Medical
Languages : en
Pages : 230
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Book Description
About the book - Artificial Intelligence in Healthcare Do you want to know the relationship between Artificial Intelligence (AI) & healthcare, & how AI is improving healthcare? Technology is evolving rapidly, & you need to keep up to stay at the top. Artificial Intelligence (AI) is revolutionizing all aspects of healthcare & this book is intended to be your companion on this journey. It's a power-packed AI book that guides you about the current state and future applications of AI in healthcare, including those under development, in a simple to understand language. It discusses the ethical concerns related to the use of AI in healthcare, principles of AI & how it works, the vital role of AI in all major medical specialties and health insurance, & the role of start-ups and corporate players in AI in healthcare. About the Author - Dr Parag Suresh Mahajan MD Dr. Parag Mahajan is an Accomplished Entrepreneurial CEO of multiple Healthcare Start-ups, Radiologist, Clinical Informatician, Teacher, Researcher, and Author. His current interests include the development of Start-ups in the fields of Artificial Intelligence in Healthcare, Blockchain in Healthcare, Electronic Health Records, and Medical eLearning Systems.
