通过人工智能优化的个性化家庭神经刺激增强了持续的注意力

IF 15.1 1区医学 Q1 HEALTH CARE SCIENCES & SERVICES

NPJ Digital Medicine Pub Date : 2025-07-29 DOI:10.1038/s41746-025-01744-6

Roi Cohen Kadosh, Delia Ciobotaru, Malin I. Karstens, Vu Nguyen

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引用次数: 0

摘要

基于大脑的人类增强技术在个性化和现实世界翻译方面面临挑战。我们提出了一种人工智能驱动的个性化贝叶斯优化算法，该算法可以根据基线能力和头部解剖结构远程调整神经刺激参数，以增强家中的持续注意力。通过计算机建模和双盲、假对照研究验证，我们的方法与基于核磁共振成像的模型和神经生物学理论相一致，最大限度地提高了疗效，并在现实世界中实现了可扩展的、个性化的认知增强和治疗。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Personalized home based neurostimulation via AI optimization augments sustained attention

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Personalized home based neurostimulation via AI optimization augments sustained attention

Brain-based technologies for human augmentation face challenges in personalization and real-world translation. We present an AI-driven personalized Bayesian optimization algorithm that remotely adjusts neurostimulation parameters based on baseline ability and head anatomy to enhance sustained attention at home. Validated through in silico modeling and a double-blind, sham-controlled study, our approach aligns with MRI-based models and neurobiological theories, maximizing efficacy and enabling scalable, personalized cognitive enhancement and therapy in real-world settings.

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来源期刊

NPJ Digital Medicine Multiple-

CiteScore

25.10

自引率

3.30%

发文量

170

审稿时长

15 weeks

期刊介绍： npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.