ARTIFICIAL INTELLIGENCE IN HEALTHCARE: A REVIEW OF ETHICAL DILEMMAS AND PRACTICAL APPLICATIONS

Evangel Chinyere Anyanwu, Chiamaka Chinaemelum Okongwu, Tolulope O Olorunsogo, Oluwatoyin Ayo-Farai, Femi Osasona, Obinna Donald Daraojimba
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Abstract

The fusion of Artificial Intelligence (AI) and healthcare heralds a new era of innovation and transformation, yet it is not without its ethical quandaries. This comprehensive review traverses the intricate landscape where AI meets healthcare, delving into the ethical dilemmas that arise alongside practical applications. The ethical considerations span a spectrum, encompassing issues of patient privacy, transparency, accountability, and the inadvertent perpetuation of biases within AI algorithms. Privacy concerns emerge as a central ethical dilemma as healthcare providers leverage AI to process vast amounts of patient data. Striking a delicate balance between harnessing the power of AI for diagnostic and predictive purposes and safeguarding sensitive medical information is a critical challenge. Moreover, the review scrutinizes the ethical implications of AI algorithms and their potential to perpetuate biases, inadvertently exacerbating health disparities. A nuanced examination of bias mitigation strategies becomes imperative to ensure that AI technologies contribute to equitable healthcare outcomes. In tandem with ethical considerations, the review illuminates the practical applications reshaping the healthcare landscape. AI-driven diagnostics, predictive modeling, and personalized treatment plans emerge as transformative tools, enhancing clinical decision-making and patient outcomes. The efficient allocation of resources, streamlined workflows, and the acceleration of drug discovery processes showcase the tangible benefits of AI integration. This review aspires to guide healthcare practitioners, policymakers, and technologists in navigating the ethical crossroads of AI in healthcare. By fostering an awareness of ethical pitfalls and emphasizing responsible AI development, stakeholders can collaboratively shape a future where AI augments healthcare delivery, upholds ethical standards, and ultimately improves the quality of patient care. Keywords:  AI, Healthcare, Ethics, Review, AI Application.
医疗保健领域的人工智能:伦理困境与实际应用综述
人工智能(AI)与医疗保健的融合预示着一个创新和变革的新时代的到来,但也并非没有伦理难题。这篇综合评论穿越了人工智能与医疗保健之间错综复杂的关系,深入探讨了在实际应用中出现的伦理困境。伦理方面的考虑因素范围广泛,包括患者隐私、透明度、问责制以及人工智能算法中无意间延续的偏见等问题。随着医疗保健提供商利用人工智能处理大量患者数据,隐私问题成为伦理困境的核心。在利用人工智能的力量进行诊断和预测与保护敏感医疗信息之间取得微妙的平衡是一项严峻的挑战。此外,本综述还仔细研究了人工智能算法的伦理影响及其延续偏见的可能性,这在无意中加剧了健康差异。要确保人工智能技术有助于实现公平的医疗保健结果,就必须对减少偏见的策略进行细致入微的审查。在考虑伦理问题的同时,本综述还阐明了重塑医疗保健格局的实际应用。人工智能驱动的诊断、预测建模和个性化治疗计划成为变革性工具,增强了临床决策和患者疗效。资源的有效分配、工作流程的简化以及药物发现过程的加速,都展示了人工智能整合带来的实实在在的好处。本综述旨在指导医疗保健从业人员、政策制定者和技术专家在医疗保健领域人工智能的伦理十字路口上前行。通过培养对伦理陷阱的认识和强调负责任的人工智能开发,利益相关者可以共同塑造一个人工智能增强医疗服务、维护伦理标准并最终提高患者护理质量的未来。关键词 人工智能、医疗保健、伦理、评论、人工智能应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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