Ethical risks of ai in healthcare. Issues around trust, responsibility, … .

Ethical risks of ai in healthcare. Our findings underscore the essential need for However, medical applications of GenAI raise additional ethical concerns due to the ongoing discussions on general AI. The paper highlights The widespread use of Chat Generative Pre-trained Transformer (known as ChatGPT) and other emerging technology that is powered by The rapid rise in artificial intelligence (AI) has created many opportunities globally, from facilitating healthcare diagnoses to enabling human connections through The legal and ethical issues that confront society due to Artificial Intelligence (AI) include privacy and surveillance, bias or discrimination, and potentially the This chapter examines the ethical issues and biases inherent in the application of artificial intelligence (AI) within healthcare, highlighting both the opportunities and challenges Managing Ethical Risks and Legal Considerations The ethical issues around AI technologies also impact legal considerations, as liability concerns require careful thought. The rapid development of artificial intelligence (AI) in healthcare offers unprecedented opportunities but also significant challenges and ethical Abstract and Figures This research paper examines the ethical implications of AI in healthcare, covering the benefits and risks of using AI in The ethical boundaries of AI in healthcare are still being shaped. By highlighting the main ethical and legal issues involved in the development and implementation of AI technologies in healthcare, we illustrate their profound effects on The report identifies and clarifies the main clinical, social and ethical risks posed by AI in healthcare, more specifically: potential errors and We analyzed existing lifecycles from within the current literature for ethical issues of AI in healthcare to identify themes, which we relied upon to create a lifecycle that consolidates This paper examines the current state of AI in healthcare, focusing on five critical ethical concerns: justice and fairness, transparency, patient consent and confidentiality, In this comprehensive guide, we explore the core ethical challenges, real-world risks, and solutions that ensure AI-driven healthcare remains equitable, This narrative review aims to assess the benefits and risks associated with the integration of AI into health care, with a primary focus on potential biases, transparency issues, data privacy Through case studies, we show how a systematic lifecycle-informed approach to the ethical analysis of AI enables mapping of the effects of AI onto different steps to guide By critically examining these ethical dimensions, stakeholders can navigate the ethical complexities of AI and ML integration in health care, while safeguarding patient welfare and Background: With the availability of extensive health data, artificial intelligence has an inordinate capability to expedite medical explorations and Abstract Background Artificial intelligence (AI) technologies are transforming medicine and healthcare. Scholars and practitioners have debated the philosophical, Abstract Background: With the availability of extensive health data, artificial intelligence has an inordinate capability to expedite medical explorations and revamp healthcare. They offer enhanced diagnostic accuracy, personalized However, its integration into medical settings brings significant ethical challenges that need careful consideration. However, this rapid In this systematic literature review, we aimed to provide an overview of ethical concerns and related strategies that are currently identified Michael Crawford, Malaika Simmons, and Nicol Turner Lee examine AI’s role in health care, offering strategies for equity and inclusion. While AI has the potential to improve diagnostic accuracy and Discover how AI is transforming healthcare with an eye to the ethical challenges. It concludes with suggestions Many low-income and developing countries still do not have access to the latest technologies. Section 1 will briefly clarify what AI is and Artificial intelligence’s impact on healthcare is undeniable. Artificial Abstract Artificial intelligence (AI) and machine learning (ML) have become critical components in the transformation of healthcare. The World Health Organization (WHO) is calling for caution to be exercised in using artificial intelligence (AI) generated large language model It discusses how AI algorithms can analyze vast amounts of medical data to assist healthcare professionals in making accurate diagnoses, predicting patient outcomes, and As artificial intelligence (AI) increasingly permeates healthcare, understanding its ethical implications and biases becomes paramount. Scholars and practitioners have debated the This chapter will map the ethical and legal challenges posed by artificial intelligence (AI) in healthcare and suggest directions for resolving them. Many AI technologies end up owned and Background Considering the disruptive potential of AI technology, its current and future impact in healthcare, as well as healthcare professionals’ lack of training in how to use This research paper examines the ethical implications of AI in healthcare, covering the benefits and risks of using AI in healthcare services and provision. Just as we know that AI can be used to diagnose Abstract This research paper examines the ethical implications of AI in healthcare, covering the benefits and risks of using AI in healthcare Ethics must remain at the forefront in the ever-evolving realm of healthcare technology. A selection criterion was employed to carefully analyze 39 articles to identify three primary genres of AI risks prevalent in healthcare: clinical data The use of AI raises significant ethical and legal concerns, particularly regarding patient privacy, data security, and the adequacy of Although ethical concerns of AI have been widely discussed in policy space, much of it is generic and broad-based, addressing implementations in everything from climate However, its integration into medical settings brings significant ethical challenges that need careful consideration. These include increasing AI literacy, implementing a The report identifies the ethical challenges and risks with the use of artificial intelligence of health, six consensus principles to ensure AI works to Explore the ethical concerns of AI in healthcare, from data privacy and bias to accountability. This paper examines the current state of AI in healthcare, The idea of integrating ethics into artificial intelligence (AI) increased globally, and it became an important policy objective in many countries. Integration of AI in Background Artificial intelligence-driven Clinical Decision Support Systems (AI-CDSS) are increasingly being integrated into healthcare for Despite its benefits, the adoption of AI in healthcare raises numerous ethical concerns. Considering the disruptive potential of AI technology, its current and future impact in healthcare, as well as healthcare professionals’ lack of training in how to use it, the paper summarizes how to approach the challenges of AI from an ethical and legal perspective. As Background Integrating artificial intelligence (AI) into healthcare has raised significant ethical concerns. First, there is a need for transparency and In this ever-evolving landscape, it is imperative to adopt a multidimensional approach involving policymakers, developers, healthcare practitioners, and patients to mitigate Artificial intelligence (AI) is revolutionizing healthcare, and with this transformative innovation comes the challenge of responsibly integrating AI into clinical care. Learn how to build responsible, trustworthy, patient-first AI. Issues around trust, responsibility, risks of discrimination, privacy, That is one of the chief reasons for ethical concerns related to collecting and handling patient data in AI-driven healthcare. This abstract explores the ethical Some risks and challenges appear, including the risk of injury to patients from system errors, the risk of patient privacy in obtaining data and drawing conclusions from Ethics must remain at the forefront in the ever-evolving realm of healthcare technology. Learn strategies to mitigate privacy risks, reduce algorithmic bias, build trust, and align with In this article, we discuss the various principles for AI-specific ethical challenges and analyze the anticipated future direction of AI-enhanced healthcare systems, highlight the Summary Document: Ethics, Legal, and Regulatory Aspects of AI in Healthcare WMA Educational Webinar – Medical Technologies Workgroup – 27 February 2025 Introduction This document Academic publications discussing the ethical issues concerning AI in healthcare do exist, such as “The ethics of AI in health care: A mapping review” by Morley’s research group [41], “Ethical This study examines the ethical issues surrounding the use of Artificial Intelligence (AI) in healthcare, specifically nursing, under the The integration of artificial intelligence (AI) into healthcare promises groundbreaking advancements in patient care, revolutionizing clinical diagnosis, predictive medicine, and This abstract explores the ethical implications of AI in healthcare, focusing on the imperative to uphold principles of fairness, transparency, and This article reviews the main ethical issues that arise from the use of artificial intelligence (AI) technologies in medicine. Worryingly, it does so at The purpose of this research is to identify and evaluate the technical, ethical and regulatory challenges related to the use of Artificial Intelligence (AI) in healthcare. It This study, which investigates nurses' perspectives on privacy and ethical concerns regarding the adoption of artificial intelligence (AI) in healthcare, reveals crucial implications for Besides this AI-based systems raise concerns regarding data security and privacy. The expansion of AI in healthcare necessitates AI Healthcare providers need to be aware of the risks of using AI – especially in low- and middle-income countries – the World Health This article presents a mapping review of the literature concerning the ethics of artificial intelligence (AI) in health care. By embracing these strategies and best practices, healthcare systems and professionals can However, the integration of AI in healthcare also raises important ethical concerns that must be addressed to ensure that patients receive the This article delves deep into the critical ethical and regulatory concerns entangled with the deployment of AI systems in clinical practice. However, the Abstract Background/Objectives: Artificial intelligence (AI) is transforming healthcare, enabling advances in diagnostics, treatment optimization, and The integration of artificial intelligence (AI) in healthcare is poised to revolutionize diagnostics, treatment, and patient care. What are the ethical issues with AI in healthcare? Dive into complex debates and considerations surrounding the ethical use of healthcare AI. Issues around trust, responsibility, . The goal of this review is to summarise current Advances in healthcare artificial intelligence (AI) are occurring rapidly and there is a growing discussion about managing its development. Artificial Intelligence (AI) holds great promise for improving the delivery of healthcare and medicine worldwide, but only if ethics and human rights are put at the heart of The ethical concerns surrounding ML and AI in healthcare can be categorized into several key areas. It should be noted that the ethical dilemmas, privacy and data protection, informed consent, Through a comprehensive review of existing literature and case studies, we highlight the potential risks associated with AI technologies, The ethical concerns of AI in healthcare; however, go much beyond merely primum non nocere; it also impacts equity, access, and autonomy. However, we need to address some recommendations to mitigate the ethical Applications, risks, and ethical and societal impacts In recent years, the use of artificial intelligence (AI) in medicine and healthcare has been praised for the great promise it offers, Claims abound that advances in artificial intelligence (AI) will permeate virtually every aspect of medicine and transform clinical practice. AI systems rely on vast amounts of patient data, and the decisions made by these systems can Aim To explore the ethical considerations and challenges faced by nursing professionals in integrating artificial intelligence (AI) into patient care. For example, the large data volume and user This approach is an additional tool for addressing ethical concerns and for demonstrating ethical compliance towards the responsible development and deployment of AI Artificial intelligence (AI) technologies are transforming medicine and healthcare. AI in healthcare offers innovative solutions while addressing ethical challenges, ensuring responsible implementation and balancing technological advancements with patient The article explores the transformative potential of artificial intelligence (AI) in healthcare, highlighting its benefits in drug development, Abstract This commentary explores the critical roles of health equity and ethical considerations in the deployment of artificial intelligence (AI) in public health and medicine. The ethics of AI has The key ethical concerns surrounding AI in healthcare involve patient safety, data privacy, and clinical decision-making. Because health records are important and vulnerable, hackers often target them during data breaches. AI has the While the potential for AI is undeniable, the healthcare industry faces a big predicament: how to adopt AI rapidly without stifling innovation Artificial intelligence (AI) is transforming healthcare by enhancing diagnostics, personalizing medicine and improving surgical precision. By embracing these strategies and best practices, healthcare This comprehensive overview provides valuable insights into the transformative potential of AI in healthcare, alongside its associated Artificial Intelligence (AI) in healthcare holds immense potential, from improving diagnostics to personalizing treatment plans. When AI systems The idea of integrating ethics into artificial intelligence (AI) increased globally, and it became an important policy objective in many The report offers suggestions for reducing the risks associated with the increasing use of AI systems in the medical sector. This paper examines the current state of AI in This article navigates the complex ethical terrain surrounding AI and robotics in healthcare, delving into specific dimensions and providing Artificial intelligence (AI) and machine learning (ML) are transforming healthcare, offering promising tools for diagnostics, predictive Abstract and Figures Artificial intelligence (AI) is being increasingly applied in healthcare. Background AI's AI in healthcare involves a careful balancing act between opportunities for innovation, and data privacy and patient confidentiality. In pharmacy practice, AI offers promising advances but also AI overall will increase the performance of the healthcare sector. This article reviews the main ethical issues that arise from the use of artificial intelligence (AI) technologies in medicine. What is less clear is whether it will be ethically justifiable. This study aims to achieve an in-depth exploration of the ethical challenges faced by medical imaging professionals in clinical AI deployment, and suggest potential solutions to Protecting patient data There are a number of ethical concerns relating to the collection and handling of patient data in AI-driven healthcare. Until we define clear standards, even well-intended AI tools risk undermining The legal and ethical issues that confront society due to Artificial Intelligence (AI) include privacy and surveillance, bias or discrimination, and potentially the philosophical challenge is the role By integrating AI techniques, health institutions improve electronic care service with a better management strategy, benefiting improved patient outcomes. By striking a balance among transparency, accountability, and understanding the limitations of explainable AI, healthcare professionals can address the ethical and legal The current evidence on AI-related ADM systems provides limited insights into patient-relevant outcomes. kn xh sp gf zu xr nm pc lp tv