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人工智能在血友病中的当前作用。

The current role of artificial intelligence in hemophilia.

机构信息

Department of Orthopedic Surgery, La Paz University Hospital, Madrid, Spain.

Osteoarticular Surgery Research Department, Hospital La Paz Institute for Health Research - IdiPAZ (La Paz University Hospital - Autonomous University of Madrid), Madrid, Spain.

出版信息

Expert Rev Hematol. 2022 Oct;15(10):927-931. doi: 10.1080/17474086.2022.2114895. Epub 2022 Aug 22.

DOI:10.1080/17474086.2022.2114895
PMID:35980129
Abstract

INTRODUCTION

The utilization of artificial intelligence (AI) in hemophilia is still in its early phases.

AREAS COVERED

In this paper a review of the available information on AI in hemophilia has been performed, to better understand the relationship between hemophilia and AI. Regarding the physical elements of AI (robotics), robotic-assisted total knee arthroplasty and laparoscopic prostatectomy have been successfully performed in hemophilic patients. Concerning the virtual elements of AI, machine learning (ML) in hemophilia has been used with encouraging results for the following: prediction of disease severity, recognition of factor V as an essential modifier of thrombin generation in mild to moderate hemophilia A, development hemophilia-focused user-centered app, gene therapy, estimation of the risk of myocardial infarction, and identification of CRISPR/Cas9 nuclease off-target for the treatment of hemophilia. AI is an emerging reality that can produce a paradigm shift in hemophilia.

EXPERT OPINION

Various AI systems can facilitate clinical care for professionals, improving the diagnosis and treatment of hemophilia. However, AI systems still have many limitations and raise operational and ethical issues. AI systems should be integrated prudently and reasonably within the practitioner's workflow.

摘要

简介

人工智能(AI)在血友病中的应用仍处于早期阶段。

涵盖领域

本文对血友病中 AI 的可用信息进行了回顾,以更好地理解血友病与 AI 之间的关系。就 AI 的物理元素(机器人)而言,机器人辅助全膝关节置换术和腹腔镜前列腺切除术已成功应用于血友病患者。就 AI 的虚拟元素而言,机器学习(ML)在血友病中的应用取得了可喜的结果,可用于以下方面:疾病严重程度的预测、识别因子 V 作为轻度至中度血友病 A 中凝血酶生成的必需调节剂、开发血友病为中心的以用户为中心的应用程序、基因治疗、心肌梗死风险评估以及鉴定 CRISPR/Cas9 核酸酶治疗血友病的脱靶。AI 是一种新兴的现实,它可以彻底改变血友病的治疗模式。

专家意见

各种 AI 系统可以为专业人员提供临床便利,从而改善血友病的诊断和治疗。然而,AI 系统仍存在许多局限性,并引发了操作和道德问题。AI 系统应在从业者的工作流程中谨慎且合理地集成。

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Application of Artificial Intelligence and Machine Learning Was Not Able to Reliably Predict Poor Outcomes in People With Hemophilia.
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Cureus. 2024 Aug 13;16(8):e66810. doi: 10.7759/cureus.66810. eCollection 2024 Aug.
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