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人工智能在癫痫中的应用及其对智障人士的应用:评论

The use of AI in epilepsy and its applications for people with intellectual disabilities: commentary.

作者信息

Milne-Ives Madison, Brownson-Smith Rosiered, Ananthakrishnan Ananya, Wang Yihan, Cong Cen, Winston Gavin P, Meinert Edward

机构信息

Translational and Clinical Research Institute, Newcastle University, Newcastle-Upon-Tyne, NE1 7RU, UK.

Centre for Health Technology, School of Nursing and Midwifery, University of Plymouth, Plymouth, PL4 8AA, UK.

出版信息

Acta Epileptol. 2025 Feb 19;7(1):13. doi: 10.1186/s42494-025-00205-7.

Abstract

Epilepsy is one of the most common neurological disorders, affecting more than 50 million people worldwide. Management is particularly complex in individuals with intellectual disabilities, who are at a much higher risk of having severe seizures compared to the general population. People with intellectual disabilities are regularly excluded from epilepsy research, despite having significantly higher risks of negative health outcomes and early mortality. Recent advances in artificial intelligence (AI) have shown great potential in improving the diagnosis, monitoring, and management of epilepsy. Machine learning techniques have been used in analysing electroencephalography data for efficient seizure detection and prediction, as well as individualised treatment, which facilitates timely and customised intervention for individuals with epilepsy. Research and implementation of AI-based solutions for people with intellectual disabilities and epilepsy still remains limited due to a lack of accessible long-term clinical data for model training, difficulties in communicating with people with intellectual disabilities, and ethical challenges in ensuring the safety of the AI systems for this population. This paper presents an overview of recent AI applications in epilepsy and for people with intellectual disabilities, highlighting key challenges and the necessity of including people with intellectual disabilities in research on AI and epilepsy, and potential strategies to promote the development and use of AI applications for this vulnerable population. Given the prevalence and consequences associated with epilepsy in people with intellectual disabilities, the application of AI in epilepsy care has the potential to have a significant positive impact. To achieve this impact and to avoid increasing existing health inequity, there is an urgent need for greater inclusion of people with intellectual disabilities in research around the application of AI to epilepsy care and management.

摘要

癫痫是最常见的神经系统疾病之一,全球有超过5000万人受其影响。对于智障人士而言,癫痫的管理尤为复杂,与普通人群相比,他们发生严重癫痫发作的风险要高得多。尽管智障人士出现负面健康结果和过早死亡的风险显著更高,但他们经常被排除在癫痫研究之外。人工智能(AI)的最新进展在改善癫痫的诊断、监测和管理方面显示出巨大潜力。机器学习技术已被用于分析脑电图数据,以进行有效的癫痫发作检测和预测,以及个性化治疗,这有助于为癫痫患者及时提供定制化干预。由于缺乏可用于模型训练的长期临床数据、与智障人士沟通困难以及确保针对该人群的人工智能系统安全性方面的伦理挑战,针对智障癫痫患者的基于人工智能的解决方案的研究和实施仍然有限。本文概述了人工智能在癫痫以及智障人士中的最新应用,强调了关键挑战以及将智障人士纳入人工智能与癫痫研究的必要性,以及促进针对这一弱势群体的人工智能应用开发和使用的潜在策略。鉴于癫痫在智障人士中的患病率及其后果,人工智能在癫痫护理中的应用有可能产生重大积极影响。为实现这一影响并避免加剧现有的健康不平等,迫切需要让更多智障人士参与围绕人工智能在癫痫护理和管理中的应用的研究。

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本文引用的文献

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