AI Healthcare Applications and Security, Ethical, and Legal Considerations

AI Healthcare Applications and Security, Ethical, and Legal Considerations
Author: Singla, Babita
Publisher: IGI Global
Total Pages: 351
Release: 2024-08-05
Genre: Medical
ISBN:
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Artificial Intelligence (AI) technology has led to the creation of many opportunities in the field of healthcare. Like other industries, stakeholders in the healthcare sector stand to benefit tremendously from its adoption. The multifaceted benefits associated with AI are something that makes the adoption of technology constructive for the sector. That said, it is equally important to take care of the ethical, security, and safety challenges related to AI applications. AI Healthcare Applications and Security, Ethical, and Legal Considerations discusses in detail the various facets of AI integration in the healthcare sector. This book offers comprehensive information on how to integrate AI into the healthcare sector safely and ethically. Covering topics such as cybersecurity, machine learning models, and public policy, this book is an excellent resource for healthcare professionals and administrators, researchers, ethicists, legal scholars, healthcare policy makers and regulators, medical informatics and IT professionals, educators, bioethics professionals, academicians, and more.

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

The Oxford Handbook of Ethics of AI

The Oxford Handbook of Ethics of AI
Author: Markus Dirk Dubber
Publisher: Oxford Handbooks
Total Pages: 896
Release: 2020
Genre: Business & Economics
ISBN: 019006739X
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This interdisciplinary and international handbook captures and shapes much needed reflection on normative frameworks for the production, application, and use of artificial intelligence in all spheres of individual, commercial, social, and public life.

Artificial Intelligence for a Better Future

Artificial Intelligence for a Better Future
Author: Bernd Carsten Stahl
Publisher: Springer Nature
Total Pages: 128
Release: 2021-03-17
Genre: Computers
ISBN: 3030699781
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This open access book proposes a novel approach to Artificial Intelligence (AI) ethics. AI offers many advantages: better and faster medical diagnoses, improved business processes and efficiency, and the automation of boring work. But undesirable and ethically problematic consequences are possible too: biases and discrimination, breaches of privacy and security, and societal distortions such as unemployment, economic exploitation and weakened democratic processes. There is even a prospect, ultimately, of super-intelligent machines replacing humans. The key question, then, is: how can we benefit from AI while addressing its ethical problems? This book presents an innovative answer to the question by presenting a different perspective on AI and its ethical consequences. Instead of looking at individual AI techniques, applications or ethical issues, we can understand AI as a system of ecosystems, consisting of numerous interdependent technologies, applications and stakeholders. Developing this idea, the book explores how AI ecosystems can be shaped to foster human flourishing. Drawing on rich empirical insights and detailed conceptual analysis, it suggests practical measures to ensure that AI is used to make the world a better place.

Artificial Intelligence in Medicine

Artificial Intelligence in Medicine
Author: Joseph JY Sung
Publisher: Elsevier
Total Pages: 162
Release: 2024-03-29
Genre: Science
ISBN: 0323950698
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Although AI is opening new and exciting opportunities in healthcare, implementation still faces challenges. Artificial Intelligence in Medicine: From Ethical, Social, and Legal Perspectives provides answers on how to improve acceptance and diminish the anxiety of the use of AI-assisted medicine. Through a series of social, ethical, and legal discussions from clinicians, social scientists, ethicists, and legal experts this important reference has coverage that includes good data custodianship and stewardship; data access, data bias, data & healthcare equity; privacy and confidentiality; algorithmic understanding; and regulatory guidance, accountability, and legal responsibility. This reference will explain to healthcare providers how AI will enhance healthcare, will introduce to scientists and researchers the ethical and social aspect of AI that needs to be addressed, and will urge policymakers and health authorities to consider the legal framework needed to implement AI technology in healthcare. Discusses the issues that must be addressed to improve acceptance and diminish the anxiety and lack of trust surrounding the care of human health by machines Examines the delicate issues surrounding the use of AI in making life-and-death decisions Sets the framework of social, ethical, and legal aspects of healthcare for the future

Ethics of Medical AI

Ethics of Medical AI
Author: Giovanni Rubeis
Publisher: Springer Nature
Total Pages: 258
Release:
Genre:
ISBN: 3031557441
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An Examination of Emerging Bioethical Issues in Biomedical Research

An Examination of Emerging Bioethical Issues in Biomedical Research
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
Total Pages: 133
Release: 2020-09-10
Genre: Medical
ISBN: 0309676630
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On February 26, 2020, the Board on Health Sciences Policy of the National Academies of Sciences, Engineering, and Medicine hosted a 1-day public workshop in Washington, DC, to examine current and emerging bioethical issues that might arise in the context of biomedical research and to consider research topics in bioethics that could benefit from further attention. The scope of bioethical issues in research is broad, but this workshop focused on issues related to the development and use of digital technologies, artificial intelligence, and machine learning in research and clinical practice; issues emerging as nontraditional approaches to health research become more widespread; the role of bioethics in addressing racial and structural inequalities in health; and enhancing the capacity and diversity of the bioethics workforce. This publication summarizes the presentations and discussions from the workshop.

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.

Research Handbook on Health, AI and the Law

Research Handbook on Health, AI and the Law
Author: Barry Solaiman
Publisher:
Total Pages: 0
Release: 2024-07-28
Genre: Computers
ISBN: 9781802205640
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The Research Handbook on Health, AI and the Law explores the use of AI in healthcare, identifying the important laws and ethical issues that arise from its use. Adopting an international approach, it analyses the varying responses of multiple jurisdictions to the use of AI and examines the influence of major religious and secular ethical traditions. Bringing together a diverse range of carefully selected legal experts, the Research Handbook critically assesses the different uses of AI in healthcare and its promise to provide greater accuracy for healthcare professionals and patients by diagnosing diseases and detecting illness earlier and helping hospitals run more efficiently. It also highlights a series of legal and ethical challenges AI raises relating to bias, privacy, data security, medical liability, informed consent and intellectual property. AI governance is rigorously examined in countries across the globe spanning Asia, Europe and the US while different responses from international organisations towards AI in healthcare are also evaluated. This Research Handbook is a key resource for scholars and law students and for those interested in current and developing legal paradigms. Its legal and practical dimensions will also be beneficial to lawyers practising in health law and internet and technology law, policymakers and medical professionals.

Intelligent Assistive Technologies for Dementia

Intelligent Assistive Technologies for Dementia
Author: Fabrice Jotterand
Publisher: Oxford University Press, USA
Total Pages: 321
Release: 2019
Genre: Medical
ISBN: 0190459808
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The increasingly widespread implementation and use of intelligent assistive technologies (IATs) is reshaping dementia care. This volume provides an up-to-date overview of the current state of IATs for dementia care. The new essays collected here examine what IATs will mean for clinical practice and the ethical and regulatory challenges they will pose.