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

IF 1.2 Q4 CLINICAL NEUROLOGY
Madison Milne-Ives, Rosiered Brownson-Smith, Ananya Ananthakrishnan, Yihan Wang, Cen Cong, Gavin P Winston, Edward Meinert
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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.

人工智能在癫痫中的应用及其对智障人士的应用:评论。
癫痫是最常见的神经系统疾病之一,影响着全世界5000多万人。智力残疾者的管理尤其复杂,与一般人群相比,他们患严重癫痫发作的风险要高得多。智力残疾者经常被排除在癫痫研究之外,尽管他们的负面健康结果和早期死亡风险要高得多。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的潜力。机器学习技术已被用于分析脑电图数据,以进行有效的癫痫检测和预测,以及个性化治疗,这有助于对癫痫患者进行及时和定制的干预。由于缺乏可获得的用于模型训练的长期临床数据,与智力残疾者沟通困难,以及在确保这一人群的人工智能系统安全方面面临的伦理挑战,针对智力残疾者和癫痫患者的基于人工智能解决方案的研究和实施仍然有限。本文概述了最近人工智能在癫痫和智力残疾者中的应用,强调了主要挑战和将智力残疾者纳入人工智能和癫痫研究的必要性,以及促进为这一弱势群体开发和使用人工智能应用的潜在战略。鉴于智力残疾者中癫痫的患病率和与癫痫相关的后果,人工智能在癫痫护理中的应用有可能产生重大的积极影响。为了实现这一影响并避免加剧现有的卫生不平等,迫切需要更多地将智力残疾者纳入围绕人工智能在癫痫护理和管理中的应用的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Acta Epileptologica
Acta Epileptologica Medicine-Neurology (clinical)
CiteScore
2.00
自引率
0.00%
发文量
38
审稿时长
20 weeks
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