• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Combined deep and reinforcement learning with gaming to promote healthcare in neurodevelopmental disorders: a new hypothesis.

作者信息

Stasolla Fabrizio, Passaro Anna, Curcio Enza, Di Gioia Mariacarla, Zullo Antonio, Dragone Mirella, Martini Elvira

机构信息

University Giustino Fortunato of Benevento, Benevento, Italy.

Universitas Mercatorum of Rome, Rome, Italy.

出版信息

Front Hum Neurosci. 2025 Mar 14;19:1557826. doi: 10.3389/fnhum.2025.1557826. eCollection 2025.

DOI:10.3389/fnhum.2025.1557826
PMID:40160374
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11949992/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f9/11949992/02e7bd8dc22d/fnhum-19-1557826-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f9/11949992/02e7bd8dc22d/fnhum-19-1557826-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5f9/11949992/02e7bd8dc22d/fnhum-19-1557826-g0001.jpg

相似文献

1
Combined deep and reinforcement learning with gaming to promote healthcare in neurodevelopmental disorders: a new hypothesis.结合深度强化学习与游戏以促进神经发育障碍的医疗保健:一个新假说。
Front Hum Neurosci. 2025 Mar 14;19:1557826. doi: 10.3389/fnhum.2025.1557826. eCollection 2025.
2
Deep learning, reinforcement learning, and world models.深度学习、强化学习和世界模型。
Neural Netw. 2022 Aug;152:267-275. doi: 10.1016/j.neunet.2022.03.037. Epub 2022 Apr 19.
3
Application of Reinforcement Learning in Multiagent Intelligent Decision-Making.强化学习在多智能体智能决策中的应用。
Comput Intell Neurosci. 2022 Sep 16;2022:8683616. doi: 10.1155/2022/8683616. eCollection 2022.
4
Deep Reinforcement Learning in Medicine.医学中的深度强化学习
Kidney Dis (Basel). 2019 Feb;5(1):18-22. doi: 10.1159/000492670. Epub 2018 Oct 12.
5
Combined extended reality and reinforcement learning to promote healthcare and reduce social anxiety in fragile X syndrome: a new assessment tool and a rehabilitative strategy.结合扩展现实与强化学习以促进脆性X综合征的医疗保健并减轻社交焦虑:一种新的评估工具和康复策略。
Front Psychol. 2023 Dec 20;14:1273117. doi: 10.3389/fpsyg.2023.1273117. eCollection 2023.
6
Deep learning(s) in gaming disorder through the user-avatar bond: A longitudinal study using machine learning.通过用户与虚拟化身的关系对游戏障碍进行深度学习:使用机器学习的纵向研究。
J Behav Addict. 2023 Nov 9;12(4):878-894. doi: 10.1556/2006.2023.00062. Print 2023 Dec 22.
7
Convergence of Artificial Intelligence and Neuroscience towards the Diagnosis of Neurological Disorders-A Scoping Review.人工智能与神经科学在神经紊乱诊断中的交汇:综述
Sensors (Basel). 2023 Mar 13;23(6):3062. doi: 10.3390/s23063062.
8
Challenges and Opportunities in Deep Reinforcement Learning With Graph Neural Networks: A Comprehensive Review of Algorithms and Applications.基于图神经网络的深度强化学习中的挑战与机遇:算法与应用综述
IEEE Trans Neural Netw Learn Syst. 2024 Nov;35(11):15051-15071. doi: 10.1109/TNNLS.2023.3283523. Epub 2024 Oct 30.
9
A whole-process interpretable and multi-modal deep reinforcement learning for diagnosis and analysis of Alzheimer's disease.全过程可解释的多模态深度强化学习用于阿尔茨海默病的诊断和分析。
J Neural Eng. 2021 Dec 13;18(6). doi: 10.1088/1741-2552/ac37cc.
10
Severity identification for internet gaming disorder using heart rate variability reactivity for gaming cues: a deep learning approach.使用游戏线索的心率变异性反应性对网络游戏障碍进行严重程度识别:一种深度学习方法。
Front Psychiatry. 2023 Nov 7;14:1231045. doi: 10.3389/fpsyt.2023.1231045. eCollection 2023.

本文引用的文献

1
Advances in brain-computer interface for decoding speech imagery from EEG signals: a systematic review.基于脑电图信号解码言语意象的脑机接口研究进展:一项系统综述
Cogn Neurodyn. 2024 Dec;18(6):3565-3583. doi: 10.1007/s11571-024-10167-0. Epub 2024 Sep 4.
2
Impact of model physiotherapy centres in reducing the burden among the caregivers of children with neurodevelopmental disorders in the rural area of Tamil Nadu: a study protocol.示范物理治疗中心对减轻泰米尔纳德邦农村地区神经发育障碍儿童照料者负担的影响:一项研究方案
J Health Popul Nutr. 2024 Dec 18;43(1):210. doi: 10.1186/s41043-024-00686-1.
3
Machine-learning based prediction of future outcome using multimodal MRI during early childhood.
基于机器学习利用多模态磁共振成像预测幼儿期未来结果。
Semin Fetal Neonatal Med. 2024 Nov;29(2-3):101561. doi: 10.1016/j.siny.2024.101561. Epub 2024 Nov 7.
4
Translational Connectomics: overview of machine learning in macroscale Connectomics for clinical insights.转化连接组学:机器学习在宏观连接组学中的应用概述,以获得临床见解。
BMC Neurol. 2024 Sep 28;24(1):364. doi: 10.1186/s12883-024-03864-0.
5
Effects of Immersive Virtual Reality with Treadmill in Subjects with Rett Syndrome: A Pilot Study.沉浸式虚拟现实结合跑步机对雷特综合征患者的影响:一项初步研究。
Children (Basel). 2024 Sep 11;11(9):1110. doi: 10.3390/children11091110.
6
Contributions of Artificial Intelligence to Analysis of Gut Microbiota in Autism Spectrum Disorder: A Systematic Review.人工智能对自闭症谱系障碍肠道微生物群分析的贡献:一项系统综述。
Children (Basel). 2024 Jul 31;11(8):931. doi: 10.3390/children11080931.
7
The Use of Deep Learning and Machine Learning on Longitudinal Electronic Health Records for the Early Detection and Prevention of Diseases: Scoping Review.深度学习和机器学习在纵向电子健康记录中用于疾病的早期检测和预防的应用:范围综述。
J Med Internet Res. 2024 Aug 20;26:e48320. doi: 10.2196/48320.
8
Sublime and extended reality experiences to enhance emotional wellbeing for autistic people: A state of the art review and narrative synthesis.崇高和扩展现实体验对自闭症患者情绪健康的提升:最新综述和叙述性综合。
Int J Soc Psychiatry. 2024 Nov;70(7):1202-1210. doi: 10.1177/00207640241261172. Epub 2024 Jul 24.
9
Correlation between Early Visual Functions and Cognitive Outcome in Infants at Risk for Cerebral Palsy or Other Neurodevelopmental Disorders: A Systematic Review.脑瘫或其他神经发育障碍高危婴儿早期视觉功能与认知结局的相关性:一项系统评价
Children (Basel). 2024 Jun 19;11(6):747. doi: 10.3390/children11060747.
10
Comparison of children and adults in deep brain stimulation for Tourette Syndrome: a large-scale multicenter study of 102 cases with long-term follow-up.比较儿童和成人在抽动秽语综合征中的深部脑刺激:一项具有长期随访的 102 例大型多中心研究。
BMC Med. 2024 May 30;22(1):218. doi: 10.1186/s12916-024-03432-w.