Ethical Considerations in the Use of Artificial Intelligence and Machine Learning in Health Care: A Comprehensive Review

Cureus, Journal Year: 2024, Volume and Issue: unknown

Published: June 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.

Language: Английский

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Applied Artificial Intelligence in Healthcare: A Review of Computer Vision Technology Application in Hospital Settings

Journal of Imaging, Journal Year: 2024, Volume and Issue: 10(4), P. 81 - 81

Published: March 28, 2024

Computer vision (CV), a type of artificial intelligence (AI) that uses digital videos or sequence images to recognize content, has been used extensively across industries in recent years. However, the healthcare industry, its applications are limited by factors like privacy, safety, and ethical concerns. Despite this, CV potential improve patient monitoring, system efficiencies, while reducing workload. In contrast previous reviews, we focus on end-user CV. First, briefly review categorize other (job enhancement, surveillance automation, augmented reality). We then developments hospital setting, outpatient, community settings. The advances monitoring delirium, pain sedation, deterioration, mechanical ventilation, mobility, surgical applications, quantification workload hospital, for events outside highlighted. To identify opportunities future also completed journey mapping at different levels. Lastly, discuss considerations associated with outline processes algorithm development testing limit expansion healthcare. This comprehensive highlights ideas expanded use

Language: Английский

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Knowledge, attitudes, and perceived Ethics regarding the use of ChatGPT among generation Z university students

International Journal for Educational Integrity, Journal Year: 2024, Volume and Issue: 20(1)

Published: June 18, 2024

Abstract Artificial intelligence (AI) has been integrated into higher education (HE), offering numerous benefits and transforming teaching learning. Since its launch, ChatGPT become the most popular learning model among Generation Z college students in HE. This study aimed to assess knowledge, concerns, attitudes, ethics of using HE Peru. An online survey was administered 201 with prior experience for academic activities. Two six proposed hypotheses were confirmed: Perceived Ethics (B = 0.856) Student Concerns 0.802). The findings suggest that students’ knowledge positive attitudes toward do not guarantee effective adoption use. It is important investigate how optimism, skepticism, or apathy AI develop these influence intention use technologies such as settings. dependence on raises ethical concerns must be addressed responsible programs No sex age differences found relationship between ChatGPTs perceived students. However, further studies diverse samples are needed determine this relationship. To promote HE, institutions comprehensive training programs, guidelines, policies address issues integrity, privacy, misinformation. These initiatives should aim educate university teachers other AI-based tools, fostering a culture leverage mitigate potential risks, lack integrity.

Language: Английский

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Artificial intelligence in environmental conservation: evaluating cyber risks and opportunities for sustainable practices

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(5), P. 1178 - 1209

Published: May 21, 2024

This study explores the integration of Artificial Intelligence (AI) into environmental conservation efforts, aiming to assess AI's transformative potential in enhancing sustainability practices. Employing a systematic literature review and content analysis, research scrutinizes peer-reviewed articles, reports, case studies from 2014 2024, focusing on application AI biodiversity preservation, climate change mitigation, sustainable resource management. The methodology hinges comprehensive search strategy, adhering strict inclusion exclusion criteria ensure relevance quality analyzed. Key findings reveal that significantly contributes by optimizing management, improving predictive analytics for conservation, facilitating advanced monitoring analysis mitigate impacts. However, deployment technologies also presents ethical cybersecurity challenges, necessitating robust frameworks responsible use. underscores importance interdisciplinary collaboration, stakeholder engagement, development solutions address these challenges effectively. Finally, holds immense promise advancing efforts. Strategic recommendations include fostering partnerships across disciplines, prioritizing considerations development, literacy among conservationists. Future directions emphasize need innovative applications addressing socio-technical complexities integrating strategies. valuable insights leveraging resilient future, highlighting critical balance between technological advancements considerations. Keywords: (AI), Environmental Conservation, Sustainability, Cyber Risks.

Language: Английский

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Navigating Healthcare Complexity

Advances in business strategy and competitive advantage book series, Journal Year: 2024, Volume and Issue: unknown, P. 145 - 168

Published: Sept. 13, 2024

The chapter discusses the importance of integrating business principles into nursing leadership to improve healthcare delivery. It highlights need for nurse leaders be knowledgeable in strategic planning, financial management, human resources, and organizational behavior. a holistic approach that includes both clinical competencies. Key domains include stewardship, resource management. also role economics, policy implications, data analytics performance improvement. advocates incorporation education curricula ongoing professional development cultivate new generation capable thriving complex environments.

Language: Английский

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Artificial intelligence: revolutionizing robotic surgery: review

Annals of Medicine and Surgery, Journal Year: 2024, Volume and Issue: 86(9), P. 5401 - 5409

Published: Aug. 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.

Language: Английский

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The role of artificial intelligence in pandemic responses: from epidemiological modeling to vaccine development

Molecular Biomedicine, Journal Year: 2025, Volume and Issue: 6(1)

Published: Jan. 3, 2025

Abstract Integrating Artificial Intelligence (AI) across numerous disciplines has transformed the worldwide landscape of pandemic response. This review investigates multidimensional role AI in pandemic, which arises as a global health crisis, and its preparedness responses, ranging from enhanced epidemiological modelling to acceleration vaccine development. The confluence technologies guided us new era data-driven decision-making, revolutionizing our ability anticipate, mitigate, treat infectious illnesses. begins by discussing impact on emerging countries worldwide, elaborating critical significance modelling, bringing enabling forecasting, mitigation response pandemic. In epidemiology, AI-driven models like SIR (Susceptible-Infectious-Recovered) SIS (Susceptible-Infectious-Susceptible) are applied predict spread disease, preventing outbreaks optimising distribution. also demonstrates how Machine Learning (ML) algorithms predictive analytics improve knowledge disease propagation patterns. collaborative aspect discovery clinical trials various vaccines is emphasised, focusing constructing AI-powered surveillance networks. Conclusively, presents comprehensive assessment impacts builds AI-enabled dynamic collaborating ML Deep (DL) techniques, develops implements trials. focuses screening, contact tracing monitoring virus-causing It advocates for sustained research, real-world implications, ethical application strategic integration strengthen collective face alleviate effects issues.

Language: Английский

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Shaping the Future of Healthcare: Ethical Clinical Challenges and Pathways to Trustworthy AI

Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(5), P. 1605 - 1605

Published: Feb. 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.

Language: Английский

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Ethical Considerations in the Use of Artificial Intelligence in Pain Medicine

Current Pain and Headache Reports, Journal Year: 2025, Volume and Issue: 29(1)

Published: Jan. 6, 2025

Language: Английский

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Ethical considerations in AI-enhanced medical decision support systems: A review

World Journal of Advanced Engineering Technology and Sciences, Journal Year: 2024, Volume and Issue: 11(1), P. 329 - 336

Published: Feb. 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.

Language: Английский

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