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人工智能在医疗保健领域的缺点及其潜在解决方案。

Drawbacks of Artificial Intelligence and Their Potential Solutions in the Healthcare Sector.

作者信息

Khan Bangul, Fatima Hajira, Qureshi Ayatullah, Kumar Sanjay, Hanan Abdul, Hussain Jawad, Abdullah Saad

机构信息

Hong Kong Centre for Cerebro-Caradiovasular Health Engineering (COCHE), Shatin, Hong Kong.

Riphah International University, Lahore, Pakistan.

出版信息

Biomed Mater Devices. 2023 Feb 8:1-8. doi: 10.1007/s44174-023-00063-2.

Abstract

Artificial intelligence (AI) has the potential to make substantial progress toward the goal of making healthcare more personalized, predictive, preventative, and interactive. We believe AI will continue its present path and ultimately become a mature and effective tool for the healthcare sector. Besides this AI-based systems raise concerns regarding data security and privacy. Because health records are important and vulnerable, hackers often target them during data breaches. The absence of standard guidelines for the moral use of AI and ML in healthcare has only served to worsen the situation. There is debate about how far artificial intelligence (AI) may be utilized ethically in healthcare settings since there are no universal guidelines for its use. Therefore, maintaining the confidentiality of medical records is crucial. This study enlightens the possible drawbacks of AI in the implementation of healthcare sector and their solutions to overcome these situations.

摘要

人工智能(AI)有潜力在使医疗保健更具个性化、预测性、预防性和交互性的目标上取得重大进展。我们相信人工智能将继续沿着目前的道路发展,并最终成为医疗保健领域成熟且有效的工具。除此之外,基于人工智能的系统引发了对数据安全和隐私的担忧。由于健康记录既重要又易受攻击,黑客在数据泄露期间经常将其作为目标。在医疗保健中缺乏关于人工智能和机器学习道德使用的标准指南只会使情况变得更糟。由于没有通用的使用指南,关于人工智能在医疗保健环境中可以在多大程度上进行道德使用存在争议。因此,维护医疗记录的保密性至关重要。本研究揭示了人工智能在医疗保健领域实施中可能存在的缺点以及克服这些情况的解决方案。

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