How to mitigate the risks of deployment of artificial intelligence in medicine?

IF 1.2 4区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Turkish Journal of Medical Sciences Pub Date : 2024-05-20 eCollection Date: 2024-01-01 DOI:10.55730/1300-0144.5814
Sevil Uygun Ilikhan, Mahmut Özer, Hande Tanberkan, Veysel Bozkurt
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Abstract

The aim of this study is to examine the risks associated with the use of artificial intelligence (AI) in medicine and to offer policy suggestions to reduce these risks and optimize the benefits of AI technology. AI is a multifaceted technology. If harnessed effectively, it has the capacity to significantly impact the future of humanity in the field of health, as well as in several other areas. However, the rapid spread of this technology also raises significant ethical, legal, and social issues. This study examines the potential dangers of AI integration in medicine by reviewing current scientific work and exploring strategies to mitigate these risks. Biases in data sets for AI systems can lead to inequities in health care. Educational data that is narrowly represented based on a demographic group can lead to biased results from AI systems for those who do not belong to that group. In addition, the concepts of explainability and accountability in AI systems could create challenges for healthcare professionals in understanding and evaluating AI-generated diagnoses or treatment recommendations. This could jeopardize patient safety and lead to the selection of inappropriate treatments. Ensuring the security of personal health information will be critical as AI systems become more widespread. Therefore, improving patient privacy and security protocols for AI systems is imperative. The report offers suggestions for reducing the risks associated with the increasing use of AI systems in the medical sector. These include increasing AI literacy, implementing a participatory society-in-the-loop management strategy, and creating ongoing education and auditing systems. Integrating ethical principles and cultural values into the design of AI systems can help reduce healthcare disparities and improve patient care. Implementing these recommendations will ensure the efficient and equitable use of AI systems in medicine, improve the quality of healthcare services, and ensure patient safety.

如何降低人工智能在医疗领域应用的风险?
本研究旨在探讨人工智能(AI)在医学中应用的相关风险,并提出政策建议,以降低这些风险,优化人工智能技术的效益。人工智能是一项多方面的技术。如果加以有效利用,它有能力在卫生领域以及其他一些领域对人类的未来产生重大影响。然而,这项技术的迅速普及也引发了重大的伦理、法律和社会问题。本研究通过回顾当前的科学研究工作并探索降低这些风险的策略,探讨了人工智能融入医疗领域的潜在危险。人工智能系统数据集的偏差可能导致医疗保健中的不公平。基于某个人口群体的狭隘的教育数据会导致人工智能系统对不属于该群体的人得出有偏差的结果。此外,人工智能系统中的可解释性和问责制概念可能会给医疗保健专业人员理解和评估人工智能生成的诊断或治疗建议带来挑战。这可能会危及患者安全,并导致选择不恰当的治疗方法。随着人工智能系统的普及,确保个人健康信息的安全将变得至关重要。因此,改善人工智能系统的患者隐私和安全协议势在必行。报告提出了一些建议,以降低人工智能系统在医疗领域日益广泛应用所带来的风险。这些建议包括提高人工智能素养、实施参与式的社会在环管理策略,以及创建持续的教育和审计系统。将伦理原则和文化价值观融入人工智能系统的设计中,有助于减少医疗差距,改善患者护理。落实这些建议将确保人工智能系统在医疗领域的高效、公平使用,提高医疗服务质量,确保患者安全。
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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来源期刊
Turkish Journal of Medical Sciences
Turkish Journal of Medical Sciences 医学-医学:内科
CiteScore
4.60
自引率
4.30%
发文量
143
审稿时长
3-8 weeks
期刊介绍: Turkish Journal of Medical sciences is a peer-reviewed comprehensive resource that provides critical up-to-date information on the broad spectrum of general medical sciences. The Journal intended to publish original medical scientific papers regarding the priority based on the prominence, significance, and timeliness of the findings. However since the audience of the Journal is not limited to any subspeciality in a wide variety of medical disciplines, the papers focusing on the technical  details of a given medical  subspeciality may not be evaluated for publication.
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