The integration of artificial intelligence (AI) into health and human-centric systems reshapes the way care, well-being, and social services are delivered. By leveraging AI technologies like machine learning, natural language processing, and computer vision, these systems can better understand, predict, and respond to human needs with accuracy and personalization. From improving diagnostics and patient outcomes in healthcare to enhancing accessibility and support in public services, AI offers tools for creating more responsive, equitable systems. Its usage raises questions around ethics, privacy, and the preservation of human agency. Further research into the balance between technological advancement and human-centered care may reveal the fundamental values that define human-technology interaction. AI in Health and Human-Centric Systems explores the role of AI in enhancing health and human-centric systems through improved diagnostics, personalized care, and more responsive public services. It examines the opportunities and ethical challenges involved in integrating AI while maintaining trust, equity, and human dignity in technology-driven environments. This book covers topics such as machine learning, medical prediction, and neural networks, and is a useful resource for engineers, medical and healthcare professionals, business owners, academicians, researchers, and scientists.
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Ahmed J. Obaid , is a Asst. Professor at the Department of Computer Science, Faculty of Computer Science and Mathematics, University of Kufa, Iraq. Dr. Ahmed holds a Bachelor in Computer Science, degree in – Information Systems from College of Computers, University of Anbar, Iraq (2001-2005), and a Master Degree (M. TECH) of Computer Science Engineering (CSE) from School of Information Technology, Jawaharlal Nehru Technological University, Hyderabad, India (2010-2013), and a Doctor of Philosophy (PhD) in Web Mining from College of Information Technology, University of University of Babylon, Iraq (2013-2017). He is a Certified Web Mining Consultant with over 14 years of experience in working as Faculty Member in University of Kufa, Iraq. He has taught courses in Web Designing, Web Scripting, JavaScript, VB.Net, MATLAB Toolbox’s, and other courses on PHP, CMC, and DHTML from more than 10 international organizations and institutes from USA, and India. Dr. Ahmed is a member of Statistical and Information Consultation Center (SICC), University of Kufa, Iraq.
Muthmainnah is a distinguished senior lecturer at Universitas Al Asyariah Mandar, located in West Sulawesi, Indonesia. Global recognition acknowledges her extensive contributions as a lecturer, an international speaker, and an accomplished leader in the academic field. Over the years, Dr. Muthmainnah has held pivotal roles at her institution, including Chairman of the Indonesian Language Department, Public Relations Officer, Director of Women's Centre Studies, Deputy Director of the Quality Assurance Unit, and her current position as Deputy Director of the Language and Character Development Institute. As a prolific author, Dr. Muthmainnah has published 84 national and international books with renowned publishers such as Springer, Emerald, Wiley, IGI Global, and Taylor and Francis. Her publications and research excellence have solidified her reputation as a leading scholar. For a comprehensive list of her works, you may visit her profile on the Sinta database ( ). Dr. Muthmainnah serves as an international board member for various scientific innovation research groups (SIRG, Egypt), holds adjunct faculty positions at prominent institutions such as MAAUN Nigeria, Buriram Rajabhat University (BRU) Thailand, and Manipal Global Ntx Malaysia, and is the country director of some international organizations. Over 100 international awards, including Outstanding Professor, Outstanding Leadership, Best International Influencer, Best Emerging Professor of the Year, and SDGs Warrior, have recognized her. Among her accolades are an honorary doctorate from Layahe University and the “Doctor of Excellence Award from the Philippines.” As a member of the United Nations Volunteers roster and a member of the advisory board for Indonesian Education Share-to-Care Volunteers, Dr. Muthmainnah actively engages in global volunteerism. Her scholarly interests encompass a wide range of topics, including literary development, instructional teaching materials, assurance of learning (ASSURE), TESOL (Teaching English to Speakers of Other Languages), ICT in education, digital education, generative AI (GenAI), and cybergogy. With an impressive Sinta score of 4680 and an H-index of 17, Dr. Muthmainnah’s academic influence extends globally. She serves as an external examiner for PhD candidates at A+ accredited universities in Florida (USA), Cyprus (Europe), Australia, India and Malaysia. Her commitment to international collaboration and teamwork underscores her contributions to academia and leadership. For further details about Dr. Muthmainnah’s research, you can explore her profiles on the following platforms: - Scopus ID: [57200720707]( ) - Google Scholar: [Dr. Muthmainnah]( ) - ResearchGate: [ResearchGate Profile]( ) - ORCID ID: [0000-0003-3170-2374]( ) - WoS ID: [1950-2017]( ). For direct communication, Dr. Muthmainnah can be reached at: - Email: muthmainnahunasman@gmail.com | muthmainnah@unasman.ac.id - Telp and WhatsApp: +62 812 4239 4950 Dr. Muthmainnah's exemplary career reflects her dedication to advancing education, fostering collaboration, and shaping the future of learning through innovative and inclusive approaches.
S. Suman Rajest is currently working as Dean of Research and Development (R&D) & International Student Affairs (ISA) at Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India. He is an Editor in Chief of the International Journal of Human Computing Studies and The International Journal of Social Sciences World, He is the Chief Executive Editor of the International Journal of Advanced Engineering Research and Science, International Journal of Advanced Engineering, Management and Science, The International Journal of Health and Medicines, The International Journal of Management Economy and Accounting Fields and The International Journal of Technology Information and Computer and also he is an Editorial Board Member in International Journal of Management in Education, Scopus, Inderscience, EAI Endorsed Transactions on e-Learning, and Bulletin of the Karaganda university Pedagogy series. He is also a Book Series Editor in IGI Global Publisher, Springer, etc. All of his writing, including his research, involves elements of creative nonfiction in the Human Computing learning system. He is also interested in creative writing and digital media, Learning, AI, student health learning, etc. He has published 500 in peer-reviewed international journals. He has authored and co-authored several scientific book publications in journals and conferences and is a frequent reviewer of international journals and international conferences and also, he is also a reviewer in Inderscience, EAI Journals, IGI Global, Science Publications, etc.
Michael Baron is Academic Dean of the Analytics Institute of Australia and he has over 20 years of Experience in IT Project Management, Data Analytics & Digital Transformation Consulting as well as Managing, Developing and Delivering both Postgraduate and Undergraduate University Programs and supervising Research Projects & Degrees. In 2003, he founded Baron Consulting ( ) - one of Australia's leading Consulting, & Training Agency in the field of Digital Transformation. PhD (Curtin University, Perth), Master of Training and Development (ECU, Perth) BA (University of Melbourne), Grad. Cert. Education (RMIT), Dip. International Trade (Swinburne).
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Paperback. Condición: new. Paperback. The integration of artificial intelligence (AI) into health and human-centric systems reshapes the way care, well-being, and social services are delivered. By leveraging AI technologies like machine learning, natural language processing, and computer vision, these systems can better understand, predict, and respond to human needs with accuracy and personalization. From improving diagnostics and patient outcomes in healthcare to enhancing accessibility and support in public services, AI offers tools for creating more responsive, equitable systems. Its usage raises questions around ethics, privacy, and the preservation of human agency. Further research into the balance between technological advancement and human-centered care may reveal the fundamental values that define human-technology interaction. AI in Health and Human-Centric Systems explores the role of AI in enhancing health and human-centric systems through improved diagnostics, personalized care, and more responsive public services. It examines the opportunities and ethical challenges involved in integrating AI while maintaining trust, equity, and human dignity in technology-driven environments. This book covers topics such as machine learning, medical prediction, and neural networks, and is a useful resource for engineers, medical and healthcare professionals, business owners, academicians, researchers, and scientists. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9798337367972
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Taschenbuch. Condición: Neu. AI in Health and Human-Centric Systems | Ahmed J. Obaid (u. a.) | Taschenbuch | Englisch | 2025 | IGI Global | EAN 9798337367972 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 134009173
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The integration of artificial intelligence (AI) into health and human-centric systems reshapes the way care, well-being, and social services are delivered. By leveraging AI technologies like machine learning, natural language processing, and computer vision, these systems can better understand, predict, and respond to human needs with accuracy and personalization. From improving diagnostics and patient outcomes in healthcare to enhancing accessibility and support in public services, AI offers tools for creating more responsive, equitable systems. Its usage raises questions around ethics, privacy, and the preservation of human agency. Further research into the balance between technological advancement and human-centered care may reveal the fundamental values that define human-technology interaction. AI in Health and Human-Centric Systems explores the role of AI in enhancing health and human-centric systems through improved diagnostics, personalized care, and more responsive public services. It examines the opportunities and ethical challenges involved in integrating AI while maintaining trust, equity, and human dignity in technology-driven environments. This book covers topics such as machine learning, medical prediction, and neural networks, and is a useful resource for engineers, medical and healthcare professionals, business owners, academicians, researchers, and scientists. Nº de ref. del artículo: 9798337367972
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