Faculty of Medicine, University of Porto, 4200-437 Porto, Portugal.
Precision Medicine Unit, Department of Gastroenterology, Hospital São João, 4200-437 Porto, Portugal.
Medicina (Kaunas). 2023 Apr 18;59(4):790. doi: 10.3390/medicina59040790.
With modern society well entrenched in the digital area, the use of Artificial Intelligence (AI) to extract useful information from big data has become more commonplace in our daily lives than we perhaps realize. Medical specialties that rely heavily on imaging techniques have become a strong focus for the incorporation of AI tools to aid disease diagnosis and monitoring, yet AI-based tools that can be employed in the clinic are only now beginning to become a reality. However, the potential introduction of these applications raises a number of ethical issues that must be addressed before they can be implemented, among the most important of which are issues related to privacy, data protection, data bias, explainability and responsibility. In this short review, we aim to highlight some of the most important bioethical issues that will have to be addressed if AI solutions are to be successfully incorporated into healthcare protocols, and ideally, before they are put in place. In particular, we contemplate the use of these aids in the field of gastroenterology, focusing particularly on capsule endoscopy and highlighting efforts aimed at resolving the issues associated with their use when available.
随着现代社会深入扎根于数字领域，使用人工智能 (AI) 从大数据中提取有用信息在我们的日常生活中变得越来越普遍，这可能超出了我们的认知。严重依赖成像技术的医学专业已经成为人工智能工具结合的重点，以帮助疾病诊断和监测，但现在才开始出现可在临床中使用的基于人工智能的工具。然而，这些应用程序的潜在引入引发了许多必须在实施之前解决的伦理问题，其中最重要的是与隐私、数据保护、数据偏差、可解释性和责任相关的问题。在这篇简短的综述中，我们旨在强调如果要成功地将人工智能解决方案纳入医疗保健协议中，则必须解决的一些最重要的生物伦理问题，理想情况下，在实施之前就要解决这些问题。特别是，我们考虑了这些辅助工具在胃肠病学领域的使用，特别关注胶囊内窥镜，并强调了为解决与使用这些工具相关的问题而做出的努力。
