Concepts Of Artificial Intelligence And Its Application In Modern Healthcare Systems

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Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems

Author : Deepshikha Agarwal
Publisher : CRC Press
ISBN 13 : 1000906000
Total Pages : 362 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems by : Deepshikha Agarwal

Download or read book Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems written by Deepshikha Agarwal and published by CRC Press. This book was released on 2023-07-31 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector. Features: Focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects Presents the application of artificial intelligence in medical imaging, fractionalization of early lung tumour detection using a low intricacy approach, etc Discusses an artificial intelligence perspective on wearable technology Analyses cardiac dynamics and assessment of arrhythmia by classifying heartbeat using electrocardiogram (ECG) Elaborates machine learning models for early diagnosis of depressive mental affliction This book serves as a reference for students and researchers analyzing healthcare data. It can also be used by graduate and post graduate students as an elective course.

Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems

Author : Deepshikha Agarwal
Publisher : CRC Press
ISBN 13 : 1000905993
Total Pages : 325 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems by : Deepshikha Agarwal

Download or read book Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems written by Deepshikha Agarwal and published by CRC Press. This book was released on 2023-07-31 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text presents the usage of artificial intelligence in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector. Features: Focuses on the use of artificial intelligence (AI) in healthcare with issues, applications, and prospects Presents the application of artificial intelligence in medical imaging, fractionalization of early lung tumour detection using a low intricacy approach, etc Discusses an artificial intelligence perspective on wearable technology Analyses cardiac dynamics and assessment of arrhythmia by classifying heartbeat using electrocardiogram (ECG) Elaborates machine learning models for early diagnosis of depressive mental affliction This book serves as a reference for students and researchers analyzing healthcare data. It can also be used by graduate and post graduate students as an elective course.

Artificial Intelligence in Healthcare

Author : Adam Bohr
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Integrating AI in Iot Analytics on the Cloud for Healthcare Applications

Author : D. Jeya Mala
Publisher :
ISBN 13 : 9781799891321
Total Pages : pages
Book Rating : 4.8/5 (913 download)

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Book Synopsis Integrating AI in Iot Analytics on the Cloud for Healthcare Applications by : D. Jeya Mala

Download or read book Integrating AI in Iot Analytics on the Cloud for Healthcare Applications written by D. Jeya Mala and published by . This book was released on 2022 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "The objectives of the book are to apply AI in edge analytics for healthcare applications and to analyze the impact of tools, techniques and security solutions in Edge Analytics for Healthcare"--

Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems

Author : Om Prakash Jena
Publisher : CRC Press
ISBN 13 : 1000486796
Total Pages : 397 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems by : Om Prakash Jena

Download or read book Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems written by Om Prakash Jena and published by CRC Press. This book was released on 2022-05-18 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains its use in solving various biomedical and healthcare problems in the real world. This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to ensure high-quality data processing, medical image and signal analysis and improved healthcare applications. This book also explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems. Furthermore, it provides the healthcare sector with innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modelling, advanced deployment, case studies, analytical results, computational structuring and significant progress in the field of machine learning and deep learning in healthcare applications. FEATURES Explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems Provides guidance in developing intelligence-based diagnostic systems, efficient models and cost-effective machines Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems Describes experiences and findings relating to protocol design, prototyping, experimental evaluation, real testbeds and empirical characterization of security and privacy interoperability issues in healthcare applications Explores and illustrates the current and future impacts of pandemics and mitigates risk in healthcare with advanced analytics This book is intended for students, researchers, professionals and policy makers working in the fields of public health and in the healthcare sector. Scientists and IT specialists will also find this book beneficial for research exposure and new ideas in the field of machine learning and deep learning.

Artificial Intelligence in Medicine

Author : Manda Raz
Publisher : Springer Nature
ISBN 13 : 9811912238
Total Pages : 255 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Artificial Intelligence in Medicine by : Manda Raz

Download or read book Artificial Intelligence in Medicine written by Manda Raz and published by Springer Nature. This book was released on 2022-06-16 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book identifies Artificial Intelligence (AI) as a growing field that is being incorporated into many aspects of human life, including healthcare practice and delivery. The precision, automation, and potential of AI brings multiple benefits to the way disease is diagnosed, investigated and treated. Currently, there is a lack of any appreciable understanding of AI and this book provides detailed understandings, which include; foundational concepts, current applications, future challenges amongst most healthcare practitioners. The book is divided into four sections: basic concepts, current applications, limitations and future directions. Each section is comprised of chapters written by expert academics, researchers and practitioners at the intersection between AI and medicine. The purpose of the book is to promote AI literacy as an important component of modern medical practice. This book is suited for all readers as it requires no previous knowledge, it walks non-technical clinicians through the complex ideas and concepts in an easy to understand manner.

Artificial Intelligence a Modern Approach

Author : Chris Baker
Publisher :
ISBN 13 : 9781082457265
Total Pages : 156 pages
Book Rating : 4.4/5 (572 download)

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Book Synopsis Artificial Intelligence a Modern Approach by : Chris Baker

Download or read book Artificial Intelligence a Modern Approach written by Chris Baker and published by . This book was released on 2019-07-24 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Buy the paperback version for this book and get the kindle book version for free Artificial intelligence is a word that carries with it heavy connotations. Although artificial intelligence is nothing more than the capacity for logic and understanding that machines can exhibit, in the minds of most Americans artificial intelligence is almost a Pandora's box that, when opened, will eventually signal the human race's doom.. Read on your PC, Mac, smart phone, tablet or Kindle device The idea that machines pose an existential threat to human beings has been around for at least 60 years. It goes something like this: intelligent machines eventually realize the uselessness of human beings and turn against their creators. Or this: intelligent machines reduce human to cattle or even food after a dramatic war that human beings lose. Human beings have created countless languages and writing systems that have allowed us to expand collective human knowledge over a period of thousands of years. Much of the knowledge that we utilized today, knowledge about the math, science, and the stars, originates from observations made thousands of years ago but which were recorded by writing systems, allowing this knowledge to be preserved and passed down. Artificial intelligence has been used for many business, financial, medical, and other applications, and scientists and researchers are actively studying how these applications can be expanded to make human life simpler. The applications of AI will be explored in this book, both the real applications to business, finance, medicine, and health and the theoretical applications. Even the sensational, perhaps exaggerated applications of AI will be explored in the context of taking a look at how AI may potentially be applied in the future. The purpose of this discussion is for the reader to understand what AI is by understanding how it is used. Artificial intelligence is certainly a blessing at this point, but the reality that it may become a curse is not lost on some people. Understanding the full implications of AI requires a deep knowledge of what it is and where it came from. For companies and businesses to take advantage of AI-powered and improved interactions, the conversation has to begin inside the organization. Leaders are supposed to start with the available channels and improve their smartness. From that point, they are supposed to ask key questions about engagements with customers and employees. Here is a preview of what you will learn... Brief history of artificial intelligence The state of art of machine learning Artificial neural networks applied to machine learning How can we build an AI ready culture Our daily lives with AI And More..... Would You Like To Know More? Scroll to the top of the page and select the buy now button.

Machine Learning and Analytics in Healthcare Systems

Author : Himani Bansal
Publisher : CRC Press
ISBN 13 : 1000406199
Total Pages : 275 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Machine Learning and Analytics in Healthcare Systems by : Himani Bansal

Download or read book Machine Learning and Analytics in Healthcare Systems written by Himani Bansal and published by CRC Press. This book was released on 2021-06-30 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bridges the gap between engineering and medicine in combining the design and problem solving skills of engineering with health sciences Explores real-world case studies in machine learning and healthcare analytics Presents a detailed exploration of applications of machine learning in healthcare systems Provides readers with how the industry avoids some of the consequences of old methods of data sharing strategies Offers readers multiple perspectives on a variety of disciplines

Internet of Things Based Machine Learning in Healthcare

Author : Prasenjit Dey
Publisher :
ISBN 13 : 9781032489285
Total Pages : 0 pages
Book Rating : 4.4/5 (892 download)

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Book Synopsis Internet of Things Based Machine Learning in Healthcare by : Prasenjit Dey

Download or read book Internet of Things Based Machine Learning in Healthcare written by Prasenjit Dey and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., accelerometer, electrocardiography, and electroencephalography. This text presents both theoretical and practical concepts related to the application of machine learning and Internet of Things algorithms in analyzing data generated through healthcare systems. Illustrates the latest technologies in the healthcare domain and the internet of things infrastructure for storing smart electronic health records Focuses on the importance of machine learning algorithms and the significance of Internet of Things (IoT) infrastructure for healthcare systems Showcases the application of fog computing architecture and edge computing in novel aspects of modern healthcare services Discusses unsupervised genetic algorithm-based automatic heart disease prediction Covers Internet of Things-based hardware mechanism and machine learning algorithm to predict the stress level of the patients. The text is primarily written for graduate students, and academic researchers in the fields of computer science and engineering, biomedical engineering, electrical engineering, and information technology"--

Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems

Author : Om Prakash Jena
Publisher : CRC Press
ISBN 13 : 1000486826
Total Pages : 321 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems by : Om Prakash Jena

Download or read book Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems written by Om Prakash Jena and published by CRC Press. This book was released on 2022-05-18 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains its use in solving various biomedical and healthcare problems in the real world. This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to ensure high-quality data processing, medical image and signal analysis and improved healthcare applications. This book also explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems. Furthermore, it provides the healthcare sector with innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modelling, advanced deployment, case studies, analytical results, computational structuring and significant progress in the field of machine learning and deep learning in healthcare applications. FEATURES Explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems Provides guidance in developing intelligence-based diagnostic systems, efficient models and cost-effective machines Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems Describes experiences and findings relating to protocol design, prototyping, experimental evaluation, real testbeds and empirical characterization of security and privacy interoperability issues in healthcare applications Explores and illustrates the current and future impacts of pandemics and mitigates risk in healthcare with advanced analytics This book is intended for students, researchers, professionals and policy makers working in the fields of public health and in the healthcare sector. Scientists and IT specialists will also find this book beneficial for research exposure and new ideas in the field of machine learning and deep learning.

Alginates

Author :
Publisher : BoD – Books on Demand
ISBN 13 : 1789856418
Total Pages : 152 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Alginates by :

Download or read book Alginates written by and published by BoD – Books on Demand. This book was released on 2020-02-05 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alginates are polysaccharides found in both the intercellular matrix of brown algae and extracellularly covering some species of bacteria. Alginate varies in composition of the algae from 20% to 60% dry matter, but on average brown algae species has 40% alginate. Alginate from brown algae occurs as gels containing sodium, calcium, strontium, magnesium, and barium ions. They are widely used by the food industry, giving foods texture properties such as thickening, adhesion, emulsification, gelling, or fullness. This book covers the latest uses of this phycocolloid in the pharmaceutical, medical, and technological fields, namely bioink for 3D bioprinting in tissue engineering and regenerative medicine, and the application of artificial intelligence in modern healthcare systems.

Artificial Intelligence in Medicine

Author : David Riaño
Publisher : Springer
ISBN 13 : 303021642X
Total Pages : 431 pages
Book Rating : 4.0/5 (32 download)

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Book Synopsis Artificial Intelligence in Medicine by : David Riaño

Download or read book Artificial Intelligence in Medicine written by David Riaño and published by Springer. This book was released on 2019-06-19 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence and Internet of Things

Author : Lalit Mohan Goyal
Publisher : CRC Press
ISBN 13 : 9781003097204
Total Pages : 440 pages
Book Rating : 4.0/5 (972 download)

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Book Synopsis Artificial Intelligence and Internet of Things by : Lalit Mohan Goyal

Download or read book Artificial Intelligence and Internet of Things written by Lalit Mohan Goyal and published by CRC Press. This book was released on 2021 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book reveals the applications of AI and IoT in smart healthcare and medical systems. It also provides core principles, algorithms, protocols, emerging trends, security problems and their findings in e-healthcare services. The book covers applications, provides case studies, and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role to assist patients, doctors and pharmaceutical staff. It also focuses on how AI and IoT could be used to keep patients safe, healthy and, at the same time, empower physicians to deliver superlative care. This book is written for researches and practitioners working in sectors of information technology, computer science, products, and services of medical equipment manufacturing industry having basic and high-level AI and IoT applications. The book will also be a useful guide for researchers and students"--

Explainable Artificial Intelligence in Healthcare Systems

Author : Anitha A. Kamaraj
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.8/5 (911 download)

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Book Synopsis Explainable Artificial Intelligence in Healthcare Systems by : Anitha A. Kamaraj

Download or read book Explainable Artificial Intelligence in Healthcare Systems written by Anitha A. Kamaraj and published by . This book was released on 2024-04-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The twenty chapters in this book offer a comprehensive overview of the theory, algorithms, and applications of interpretable and explainable artificial intelligence. They cover recent advances in the field of healthcare, reflect the current discourse, and offer suggestions for future research. The book is divided into four sections: primitive concepts of XAI, XAI in smart tele-medicine and tele-health, public health application using XAI, and medical imaging classification using XAI. Thus, the book covers a comprehensive set of material ranging from fundamentals to image analysis employing XAI ideas.

Practical Artificial Intelligence for Internet of Medical Things

Author : Ben Othman Soufiene
Publisher : CRC Press
ISBN 13 : 1000831361
Total Pages : 346 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Practical Artificial Intelligence for Internet of Medical Things by : Ben Othman Soufiene

Download or read book Practical Artificial Intelligence for Internet of Medical Things written by Ben Othman Soufiene and published by CRC Press. This book was released on 2023-02-28 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes case studies, implementation and management of smart healthcare systems using AI. Chapters focus on AI applications in Internet of Healthcare Things, provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and AI, with the real-world examples. This book is aimed at Researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics. Features: Focus on the Internet of Healthcare Things and innovative solutions developed for use in the application of healthcare services Discusses artificial intelligence applications, experiments, core concepts, and cutting-edge themes Demonstrates new approaches to analyzing medical data and identifying ailments using AI to improve overall quality of life Introduces fundamental concepts for designing the Internet of Healthcare Things solutions Includes pertinent case studies and applications This book is aimed at researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics.

The Thinking Healthcare System

Author : Dominique J Monlezun
Publisher : Elsevier
ISBN 13 : 0443189072
Total Pages : 324 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis The Thinking Healthcare System by : Dominique J Monlezun

Download or read book The Thinking Healthcare System written by Dominique J Monlezun and published by Elsevier. This book was released on 2023-02-17 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Thinking Healthcare System: Artificial Intelligence and Human Equity is the first comprehensive book detailing the historical, global, and technical trends shaping the evolution of the modern healthcare system into its final form—an AI-driven thinking healthcare system, structured and functioning as a global digital health ecosystem. Written by the world’s first triple doctorate trained physician-data scientist and ethicist, and author of three AI textbooks and over 350 scientific and ethics papers, this indispensable resource makes sense of how technology, economics, and ethics are already producing the future’s health system—and how to ensure it works for every patient, community, and culture in our globalized, digitalized, and divided world. Providing clear descriptions and concrete examples, this book brings together AI-accelerated digital health ecosystems, data architecture, cloud and edge computing, precision medicine, public health, telemedicine, patient safety, health political economics, multicultural global ethics, blockchain, and quantum health computing, among other topics. Healthcare and business executives, clinicians, researchers, government leaders, policymakers, and students in the fields of healthcare management, data science, medicine, public health, informatics, health and public policy, political economics, and bioethics will find this book to be a groundbreaking resource on how to create, nourish, and lead AI-driven health systems for the future that can think, adapt, and so care in a manner worthy of the world’s patients. Details the first comprehensive, global, and multidisciplinary analysis of the AI-driven transformation of modern healthcare systems into their definitive digitalized form that will dominate the future Provides clear descriptions and concrete examples of AI-informed value-based healthcare, digital health ecosystems, data architecture, cloud and edge computing, precision medicine, public health, telemedicine, patient safety, health political economics, multicultural and embedded global ethics, blockchain, AI security, health security, digital twins, and quantum health computing Serves as a practical blueprint, roadmap, and system DNA for creating the future’s healthcare system that integrates efficiency and equity to accelerate the treatment (and in some cases even cures) for some of our world’s most urgent, immediate, and impending global health challenges and crises

AI in Healthcare: How Artificial Intelligence Changes the Future of Medical Care

Author : Jing Xu
Publisher : Overseas Chinese Press
ISBN 13 : 9781639314423
Total Pages : 0 pages
Book Rating : 4.3/5 (144 download)

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Book Synopsis AI in Healthcare: How Artificial Intelligence Changes the Future of Medical Care by : Jing Xu

Download or read book AI in Healthcare: How Artificial Intelligence Changes the Future of Medical Care written by Jing Xu and published by Overseas Chinese Press. This book was released on 2022-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientific and technological innovation is the key to high-quality development. Artificial intelligence, as the core driving force of the new round of scientific and technological revolution and industrial transformation, can play an important role in clinical diagnosis and treatment, disease prediction, health management, pharmaceutical research and development, epidemic monitoring and so on. Its application in the field of health care will promote the innovation of health technology and the transformation of medical service mode, and promote the reduction of medical cost on the supply side and the improvement of medical service efficiency. At the same time, it will help to form a homogeneous, standard and extensible medical service system, optimize the allocation of resources, guarantee the right of everyone to enjoy high-quality and high-standard homogeneous medical services on the demand side, and promote health equity and accessibility.This book focuses on the development of AI technology in the field of healthcare and provides important scientific support for further promoting the development of AI + Healthcare technology. This book combs and explores the multidisciplinary concepts and cross-application of artificial intelligence technology in intelligent medical applications, and provides clear and concise explanations, which also lists a large number of reliable information and data. It is believed that the publication of this book will help readers with relevant disciplinary backgrounds to understand, learn and explore the AI + Healthcare frontier. This book mainly includes the following contents: artificial intelligence for medical treatment, information infrastructure construction of artificial intelligence in the field of medical health, promotion and ecological construction of artificial intelligence in the field of medical health, application of artificial intelligence in the epidemic situation, and deep medical exploration of artificial intelligence.