Artificial Intelligence in Medicine: From Ethical, Social, and Legal Perspectives

Artificial Intelligence in Medicine: From Ethical, Social, and Legal Perspectives provides insights into improving acceptance and reducing anxiety about AI-assisted medicine through ethical, social, and legal discussions. It covers topics such as data custodianship, access, bias, equity, privacy, and accountability, and urges policymakers to consider the legal framework for implementing AI technology in healthcare.

Format: Paperback / softback
Length: 300 pages
Publication date: 01 March 2024
Publisher: Elsevier Science & Technology

Artificial Intelligence (AI) has revolutionized the field of medicine, offering numerous benefits and opportunities for innovation. However, with the integration of AI into healthcare comes a range of ethical, social, and legal considerations that must be addressed to ensure the responsible and effective use of this technology. In Artificial Intelligence in Medicine: From Ethical, Social, and Legal Perspectives, a comprehensive reference book, experts from various fields provide valuable insights into how AI can be improved in terms of acceptance and diminished anxiety among healthcare professionals.

The book is organized into several chapters, each addressing different aspects of AI in medicine. The first chapter explores the ethical considerations surrounding AI, including issues such as privacy, confidentiality, and informed consent. It highlights the importance of transparent and accountable AI systems, as well as the need for ethical guidelines and regulations to ensure the responsible use of AI.

The second chapter delves into the social implications of AI in medicine, including the impact on healthcare disparities, social isolation, and the potential for bias in AI algorithms. It explores the role of healthcare professionals in addressing these challenges and promoting equity and inclusivity in the use of AI.

The third chapter focuses on the legal aspects of AI in medicine, including intellectual property rights, data privacy, and regulatory frameworks. It discusses the legal responsibilities of healthcare providers, researchers, and technology companies, as well as the need for clear and comprehensive legal policies to govern the use of AI in healthcare.

Throughout the book, experts share their perspectives and experiences on the use of AI in medicine, providing practical insights and recommendations for healthcare professionals and policymakers. They discuss the challenges and opportunities that AI presents, as well as the steps that can be taken to ensure the safe and effective integration of AI into healthcare.

One of the key strengths of Artificial Intelligence in Medicine is its comprehensive coverage of various topics related to AI in healthcare. The book provides a thorough understanding of good data custodianship and stewardship, data access, data bias, data & healthcare equity, privacy and confidentiality, algorithmic understanding, and regulatory guidance. It also emphasizes the importance of accountability and legal responsibility in the use of AI, highlighting the need for transparent and ethical practices.

The book is particularly valuable for healthcare providers who are seeking to integrate AI into their practice. It provides practical guidance on how to assess the ethical and social implications of AI, as well as how to implement and manage AI systems effectively. It also offers insights into the legal framework needed to implement AI technology in healthcare, ensuring that it is compliant with relevant regulations and guidelines.

For scientists and researchers, Artificial Intelligence in Medicine provides a comprehensive overview of the ethical and social aspects of AI that need to be addressed. It highlights the importance of conducting rigorous research and developing ethical guidelines and regulations to ensure the responsible use of AI in healthcare. It also provides insights into the legal framework that governs the use of AI in research and innovation, ensuring that intellectual property rights are protected and that research is conducted in compliance with ethical standards.

Policymakers and health authorities also play a crucial role in the implementation of AI in healthcare. The book urges them to consider the legal framework needed to implement AI technology in healthcare, ensuring that it is transparent, accountable, and inclusive. It emphasizes the need for collaboration between healthcare professionals, policymakers, and technology companies to develop policies that promote the safe and effective use of AI in healthcare.

In conclusion, Artificial Intelligence in Medicine: From Ethical, Social, and Legal Perspectives is a comprehensive reference book that provides valuable insights into how AI can be improved in terms of acceptance and diminished anxiety among healthcare professionals. The book offers a comprehensive understanding of the ethical, social, and legal considerations surrounding AI in healthcare, and provides practical recommendations for healthcare professionals and policymakers. By addressing these challenges and opportunities, we can ensure that AI is used to enhance healthcare and improve patient outcomes.

Dimension: 234 x 191 (mm)
ISBN-13: 9780323950688