人工智能在医学中的新可能性:叙述性综述

A. Litvin, I. Stoma, T. Sharshakova, S. B. Rumovskaya, A. A. Kyovalev
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摘要

这篇叙述性综述旨在对人工智能(AI)在改善各种疾病的诊断、预防和治疗方面的新兴能力进行描述性分析。 文章讨论了哪些现代人工智能工具可用于临床实践、医疗机构和医学教育。文章考虑了医疗人工智能系统的各个方面,主要是临床工作过程中医疗决策的计算机支持系统。本文十分关注生成式人工智能在医学中的应用。对人工智能在临床实践中的潜在应用进行了研究,强调了对从业人员及其患者都大有可为的前景。文中阐述了在医学各领域使用人工智能的局限性,并提出了解决这些局限性的可行方法。还概述了与引入人工智能相关的信息安全和伦理限制问题。将人工智能广泛融入公共卫生领域将加强临床和管理决策支持,加快疾病诊断,提高医疗服务的整体质量和可及性。
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New possibilities of artificial intelligence in medicine: a narrative review
   The purpose of the narrative review is to provide a descriptive analysis of the emerging capabilities of artificial intelligence (AI) to improve the diagnosis, prevention and treatment of various diseases.   The article discusses which modern AI tools can be used in clinical practice, healthcare organization and medical education. The paper considers various aspects of medical AI systems, which are mainly computer support systems for medical decision-making in the process of clinical work. Much attention is paid to the possibilities of generative AI in medicine. Potential applications of AI in clinical practice have been investigated, highlighting promising prospects for both practitioners and their patients. The limitations associated with the use of AI in various fields of medicine are described, and possible ways of solving them are suggested. The problems of information security and ethical constraints associated with the introduction of AI are outlined. The broad integration of AI into public health will enhance clinical and management decision support, speed up disease diagnosis, and improve the overall quality and accessibility of healthcare services.
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