Journal of Medicine Surgery and Public Health, Год журнала: 2024, Номер unknown, С. 100158 - 100158
Опубликована: Ноя. 1, 2024
Язык: Английский
Cureus, Год журнала: 2024, Номер unknown
Опубликована: Июнь 15, 2024
Artificial intelligence (AI) and machine learning (ML) technologies are revolutionizing health care by offering unprecedented opportunities to enhance patient care, optimize clinical workflows, advance medical research. However, the integration of AI ML into healthcare systems raises significant ethical considerations that must be carefully addressed ensure responsible equitable deployment. This comprehensive review explored multifaceted surrounding use in including privacy data security, algorithmic bias, transparency, validation, professional responsibility. By critically examining these dimensions, stakeholders can navigate complexities while safeguarding welfare upholding principles. embracing best practices fostering collaboration across interdisciplinary teams, community harness full potential usher a new era personalized data-driven prioritizes well-being equity.
Язык: Английский
Процитировано
37
Social Sciences, Год журнала: 2024, Номер 13(7), С. 381 - 381
Опубликована: Июль 22, 2024
AI has the potential to revolutionize mental health services by providing personalized support and improving accessibility. However, it is crucial address ethical concerns ensure responsible beneficial outcomes for individuals. This systematic review examines considerations surrounding implementation impact of artificial intelligence (AI) interventions in field well-being. To a comprehensive analysis, we employed structured search strategy across top academic databases, including PubMed, PsycINFO, Web Science, Scopus. The scope encompassed articles published from 2014 2024, resulting 51 relevant articles. identifies 18 key considerations, 6 associated with using wellbeing (privacy confidentiality, informed consent, bias fairness, transparency accountability, autonomy human agency, safety efficacy); 5 principles development technologies settings practice positive (ethical framework, stakeholder engagement, review, mitigation, continuous evaluation improvement); 7 practices, guidelines, recommendations promoting use (adhere transparency, prioritize data privacy security, mitigate involve stakeholders, conduct regular reviews, monitor evaluate outcomes). highlights importance By addressing privacy, bias, oversight, evaluation, can that like chatbots AI-enabled medical devices are developed deployed an ethically sound manner, respecting individual rights, maximizing benefits while minimizing harm.
Язык: Английский
Процитировано
25
Annals of Medicine and Surgery, Год журнала: 2024, Номер 86(9), С. 5401 - 5409
Опубликована: Авг. 1, 2024
Robotic surgery, known for its minimally invasive techniques and computer-controlled robotic arms, has revolutionized modern medicine by providing improved dexterity, visualization, tremor reduction compared to traditional methods. The integration of artificial intelligence (AI) into surgery further advanced surgical precision, efficiency, accessibility. This paper examines the current landscape AI-driven systems, detailing their benefits, limitations, future prospects. Initially, AI applications in focused on automating tasks like suturing tissue dissection enhance consistency reduce surgeon workload. Present systems incorporate functionalities such as image recognition, motion control, haptic feedback, allowing real-time analysis field images optimizing instrument movements surgeons. advantages include enhanced reduced fatigue, safety. However, challenges high development costs, reliance data quality, ethical concerns about autonomy liability hinder widespread adoption. Regulatory hurdles workflow also present obstacles. Future directions enhancing autonomy, personalizing approaches, refining training through AI-powered simulations virtual reality. Overall, holds promise advancing care, with potential benefits including patient outcomes increased access specialized expertise. Addressing promoting responsible adoption are essential realizing full surgery.
Язык: Английский
Процитировано
20
Ageing Research Reviews, Год журнала: 2024, Номер unknown, С. 102497 - 102497
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
20
Preventing Chronic Disease, Год журнала: 2024, Номер 21
Опубликована: Авг. 22, 2024
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Prevention and Health Promotion. PCD provides an open exchange of information knowledge among researchers, practitioners, policy makers, others who strive to improve health public through chronic disease prevention.
Язык: Английский
Процитировано
19
Journal of Clinical Medicine, Год журнала: 2025, Номер 14(5), С. 1605 - 1605
Опубликована: Фев. 27, 2025
Background/Objectives: Artificial intelligence (AI) is transforming healthcare, enabling advances in diagnostics, treatment optimization, and patient care. Yet, its integration raises ethical, regulatory, societal challenges. Key concerns include data privacy risks, algorithmic bias, regulatory gaps that struggle to keep pace with AI advancements. This study aims synthesize a multidisciplinary framework for trustworthy focusing on transparency, accountability, fairness, sustainability, global collaboration. It moves beyond high-level ethical discussions provide actionable strategies implementing clinical contexts. Methods: A structured literature review was conducted using PubMed, Scopus, Web of Science. Studies were selected based relevance ethics, governance, policy prioritizing peer-reviewed articles, analyses, case studies, guidelines from authoritative sources published within the last decade. The conceptual approach integrates perspectives clinicians, ethicists, policymakers, technologists, offering holistic “ecosystem” view AI. No trials or patient-level interventions conducted. Results: analysis identifies key current governance introduces Regulatory Genome—an adaptive oversight aligned trends Sustainable Development Goals. quantifiable trustworthiness metrics, comparative categories applications, bias mitigation strategies. Additionally, it presents interdisciplinary recommendations aligning deployment environmental sustainability goals. emphasizes measurable standards, multi-stakeholder engagement strategies, partnerships ensure future innovations meet practical healthcare needs. Conclusions: Trustworthy requires more than technical advancements—it demands robust safeguards, proactive regulation, continuous By adopting recommended roadmap, stakeholders can foster responsible innovation, improve outcomes, maintain public trust AI-driven healthcare.
Язык: Английский
Процитировано
3
World Journal of Advanced Engineering Technology and Sciences, Год журнала: 2024, Номер 11(1), С. 329 - 336
Опубликована: Фев. 28, 2024
As Artificial Intelligence (AI) continues to play an increasingly pivotal role in medical decision support systems, the ethical implications of its integration into healthcare practices demand comprehensive examination. This review delves considerations surrounding AI-enhanced aiming provide insights challenges, existing frameworks, exemplary practices, and emerging trends this rapidly evolving field. The significance is underscored by patient-centric focus, emphasizing impact AI on patient outcomes delicate balance between technological advancements welfare. Trust transparency emerge as critical pillars, exploring trust decision-making imperative ensuring algorithms foster confidence among professionals patients. Ethical including privacy confidentiality concerns, biases algorithms, issues related informed consent, are thoroughly examined. Strategies for safeguarding data, mitigating biases, transparently communicating with patients explored address these challenges. accountability responsibility delineated, defining responsibilities both developers. surveys frameworks evaluates their applicability effectiveness. Additionally, it highlights recent proposals guidelines, need integrate entire development life cycle systems. Case studies from institutions implementing serve illustrate real-world applications offer best practices. landscape research explored, showcasing ongoing initiatives potential innovations that hold promise addressing challenges future. underscores paramount importance It provides a overview current trends, vigilance governance ensure responsible beneficial deployment healthcare.
Язык: Английский
Процитировано
14
Journal of Medicine Surgery and Public Health, Год журнала: 2024, Номер unknown, С. 100140 - 100140
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
9
AI & Society, Год журнала: 2025, Номер unknown
Опубликована: Янв. 7, 2025
Язык: Английский
Процитировано
1
International Journal of Intelligence Science, Год журнала: 2025, Номер 15(01), С. 10 - 55
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1