Ethics Of Medical Ai
DOWNLOAD
Download Ethics Of Medical Ai PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Ethics Of Medical Ai book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Ethics Of Medical Ai
DOWNLOAD
Author : Giovanni Rubeis
language : en
Publisher: Springer Nature
Release Date :
Ethics Of Medical Ai written by Giovanni Rubeis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
The Ethical Governance Of Artificial Intelligence And Machine Learning In Healthcare
DOWNLOAD
Author : Tina Nguyen
language : en
Publisher: Ethics International Press
Release Date : 2023-11-25
The Ethical Governance Of Artificial Intelligence And Machine Learning In Healthcare written by Tina Nguyen and has been published by Ethics International Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-25 with Medical categories.
This book explores the ethical governance of Artificial Intelligence (AI) & Machine Learning (ML) in healthcare. AI/ML usage in healthcare as well as our daily lives is not new. However, the direct, and oftentimes long-term effects of current technologies, in addition to the onset of future innovations, have caused much debate about the safety of AI/ML. On the one hand, AI/ML has the potential to provide effective and efficient care to patients, and this sways the argument in favor of continuing to use AI/ML; but on the other hand, the dangers (including unforeseen future consequences of the further development of the technology) leads to vehement disagreement with further AI/ML usage. Due to its potential for beneficial outcomes, the book opts to push for ethical AI/ML to be developed and examines various areas in healthcare, such as big data analytics and clinical decision-making, to uncover and discuss the importance of developing ethical governance for AI/ML in this setting.
Artificial Intelligence And Bioethics
DOWNLOAD
Author : Perihan Elif Ekmekci
language : en
Publisher: Springer Nature
Release Date : 2020-07-30
Artificial Intelligence And Bioethics written by Perihan Elif Ekmekci and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-30 with Philosophy categories.
This book explores major bioethical issues emerging from the development and use of artificial intelligence in medical settings. The authors start by defining the past, present and future of artificial intelligence in medical settings and then proceed to address the resulting common and specific bioethical inquiries. The book discusses bioethical inquiries in two separate sets. The first set is comprised of ontological discussions mainly focusing on personhood and being an ethical agent of an artefact. The second set discusses bioethical issues resulting from the use of artificial intelligence. It focuses particularly on the area of artificial intelligence use in medicine and health services. It addresses the main challenges by considering fundamental principles of medical ethics, including confidentiality, privacy, compassion, veracity and fidelity. Finally, the authors discuss the ethical implications of involvement of artificial intelligence agents in patient care by expanding on communication skills in a case-based approach. The book is of great interest to ethicists, medical professionals, academicians, engineers and scientists working with artificial intelligence.
Artificial Intelligence In Medicine
DOWNLOAD
Author : Joseph JY Sung
language : en
Publisher: Elsevier
Release Date : 2024-03-29
Artificial Intelligence In Medicine written by Joseph JY Sung and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Science categories.
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
Encoding Bioethics
DOWNLOAD
Author : Charles Binkley
language : en
Publisher: Univ of California Press
Release Date : 2024-06-25
Encoding Bioethics written by Charles Binkley and has been published by Univ of California Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-25 with Medical categories.
Encoding Bioethics addresses important ethical concerns from the perspective of each of the stakeholders who will develop, deploy, and use artificial intelligence systems to support clinical decisions. Utilizing an applied ethical model of patient-centered care, this book considers the viewpoints of programmers, health system and health insurance leaders, clinicians, and patients when AI is used in clinical decision-making. The authors build on their respective experiences as a surgeon-bioethicist and a surgeon-AI developer to give the reader an accessible account of the relevant ethical considerations raised when AI systems are introduced into the physician-patient relationship.
Artificial Intelligence In Medicine
DOWNLOAD
Author : Niklas Lidströmer
language : en
Publisher: Springer
Release Date : 2022-03-17
Artificial Intelligence In Medicine written by Niklas Lidströmer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-17 with Medical categories.
This book provides a structured and analytical guide to the use of artificial intelligence in medicine. Covering all areas within medicine, the chapters give a systemic review of the history, scientific foundations, present advances, potential trends, and future challenges of artificial intelligence within a healthcare setting. Artificial Intelligence in Medicine aims to give readers the required knowledge to apply artificial intelligence to clinical practice. The book is relevant to medical students, specialist doctors, and researchers whose work will be affected by artificial intelligence.
Ethics And Governance Of Artificial Intelligence For Health Large Multi Modal Models Who Guidance
DOWNLOAD
Author : World Health Organization
language : en
Publisher: World Health Organization
Release Date : 2024-01-18
Ethics And Governance Of Artificial Intelligence For Health Large Multi Modal Models Who Guidance written by World Health Organization and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-18 with Medical categories.
Artificial Intelligence (AI) refers to the capability of algorithms integrated into systems and tools to learn from data so that they can perform automated tasks without explicit programming of every step by a human. Generative AI is a category of AI techniques in which algorithms are trained on data sets that can be used to generate new content, such as text, images or video. This guidance addresses one type of generative AI, large multi-modal models (LMMs), which can accept one or more type of data input and generate diverse outputs that are not limited to the type of data fed into the algorithm. It has been predicted that LMMs will have wide use and application in health care, scientific research, public health and drug development. LMMs are also known as “general-purpose foundation models”, although it is not yet proven whether LMMs can accomplish a wide range of tasks and purposes.
Ethics And Governance Of Artificial Intelligence For Health
DOWNLOAD
Author :
language : en
Publisher: World Health Organization
Release Date : 2021-06-28
Ethics And Governance Of Artificial Intelligence For Health written by and has been published by World Health Organization this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-28 with Medical categories.
This WHO Guidance document discusses ethical and governance issues as they arise in the use of artificial intelligence (AI) for health. It contains a set of principles, recommendations, and checklists for selected end-users. The target audience is Ministries of Health, AI developers, health care workers, and industry.
Ethical Dilemmas Of Ai In Healthcare
DOWNLOAD
Author : Rhoda Kariuki
language : en
Publisher: GRIN Verlag
Release Date : 2024-02-06
Ethical Dilemmas Of Ai In Healthcare written by Rhoda Kariuki and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-06 with Social Science categories.
Essay from the year 2024 in the subject Health - Health Sciences, grade: A, , language: English, abstract: In a world fueled by technological advancements, the intersection of artificial intelligence (AI) and healthcare stands as a beacon of promise and concern. Picture this: a patient walks into a clinic, apprehensive about symptoms that defy easy diagnosis. Amidst the uncertainty, AI steps in, deciphering complex patterns and unraveling the mystery behind the symptoms. This real-world scenario illustrates the transformative potential of AI in healthcare—a tool not only for accurate diagnoses but also for unlocking previously inaccessible realms of medical knowledge. The integration of AI into healthcare systems has thrust the medical field into a new era, promising unparalleled advancements in diagnostics and treatment. This paper recognizes the rapid development of AI in healthcare and delves into the ethical implications that accompany this transformative journey. While AI holds the potential to revolutionize medical practices, it concurrently raises critical ethical concerns, particularly in the realms of patient autonomy, algorithmic bias, and data privacy. As we navigate this frontier of innovation, it becomes imperative to critically examine the ethical dimensions surrounding the application of AI in healthcare.
Artificial Intelligence In Brain And Mental Health Philosophical Ethical Policy Issues
DOWNLOAD
Author : Fabrice Jotterand
language : en
Publisher: Springer Nature
Release Date : 2022-02-11
Artificial Intelligence In Brain And Mental Health Philosophical Ethical Policy Issues written by Fabrice Jotterand and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-11 with Medical categories.
This volume provides an interdisciplinary collection of essays from leaders in various fields addressing the current and future challenges arising from the implementation of AI in brain and mental health. Artificial Intelligence (AI) has the potential to transform health care and improve biomedical research. While the potential of AI in brain and mental health is tremendous, its ethical, regulatory and social impacts have not been assessed in a comprehensive and systemic way. The volume is structured according to three main sections, each of them focusing on different types of AI technologies. Part 1, Big Data and Automated Learning: Scientific and Ethical Considerations, specifically addresses issues arising from the use of AI software, especially machine learning, in the clinical context or for therapeutic applications. Part 2, AI for Digital Mental Health and Assistive Robotics: Philosophical and Regulatory Challenges, examines philosophical, ethical and regulatory issues arising from the use of an array of technologies beyond the clinical context. In the final section of the volume, Part 3 entitled AI in Neuroscience and Neurotechnology: Ethical, Social and Policy Issues, contributions examine some of the implications of AI in neuroscience and neurotechnology and the regulatory gaps or ambiguities that could potentially hamper the responsible development and implementation of AI solutions in brain and mental health. In light of its comprehensiveness and multi-disciplinary character, this book marks an important milestone in the public understanding of the ethics of AI in brain and mental health and provides a useful resource for any future investigation in this crucial and rapidly evolving area of AI application. The book is of interest to a wide audience in neuroethics, robotics, computer science, neuroscience, psychiatry and mental health.