Lakkimsetti Mohit, Devella Swati G, Patel Keval B, Dhandibhotla Sarvani, Kaur Jasleen, Mathew Midhun, Kataria Janvi, Nallani Manisha, Farwa Umm E, Patel Tirath, Egbujo Uzoamaka C, Meenashi Sundaram Dakshin, Kenawy Samar, Roy Mehak, Khan Saniyal Farheen
Internal Medicine, Mamata Medical College, Khammam, IND.
Medicine, Kempegowda Institute of Medical Sciences, Bangalore, IND.
Cureus. 2024 Apr 16;16(4):e58400. doi: 10.7759/cureus.58400. eCollection 2024 Apr.
Artificial intelligence (AI) has the ability to completely transform the healthcare industry by enhancing diagnosis, treatment, and resource allocation. To ensure patient safety and equitable access to healthcare, it also presents ethical and practical issues that need to be carefully addressed. Its integration into healthcare is a crucial topic. To realize its full potential, however, the ethical issues around data privacy, prejudice, and transparency, as well as the practical difficulties posed by workforce adaptability and statutory frameworks, must be addressed. While there is growing knowledge about the advantages of AI in healthcare, there is a significant lack of knowledge about the moral and practical issues that come with its application, particularly in the setting of emergency and critical care. The majority of current research tends to concentrate on the benefits of AI, but thorough studies that investigate the potential disadvantages and ethical issues are scarce. The purpose of our article is to identify and examine the ethical and practical difficulties that arise when implementing AI in emergency medicine and critical care, to provide solutions to these issues, and to give suggestions to healthcare professionals and policymakers. In order to responsibly and successfully integrate AI in these important healthcare domains, policymakers and healthcare professionals must collaborate to create strong regulatory frameworks, safeguard data privacy, remove prejudice, and give healthcare workers the necessary training.
人工智能（AI）有能力通过改善诊断、治疗和资源分配来彻底改变医疗行业。为确保患者安全并实现医疗保健的公平可及，它也带来了一些需要谨慎处理的伦理和实际问题。将其整合到医疗保健领域是一个关键话题。然而，要充分发挥其潜力，就必须解决围绕数据隐私、偏见和透明度的伦理问题，以及劳动力适应性和法规框架带来的实际困难。虽然人们对人工智能在医疗保健中的优势了解越来越多，但对于其应用所带来的道德和实际问题却知之甚少，尤其是在急诊和重症监护环境中。当前的大多数研究往往集中在人工智能的好处上，但深入研究其潜在弊端和伦理问题的却很少。我们文章的目的是识别和审视在急诊医学和重症监护中应用人工智能时出现的伦理和实际困难，为这些问题提供解决方案，并给医疗保健专业人员和政策制定者提供建议。为了在这些重要的医疗保健领域中负责任且成功地整合人工智能，政策制定者和医疗保健专业人员必须合作，建立强大的监管框架，保护数据隐私，消除偏见，并为医护人员提供必要的培训。
