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Published on in Vol 10 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72218, first published .
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Advancing Brain-Computer Interface Closed-Loop Systems for Neurorehabilitation: Systematic Review of AI and Machine Learning Innovations in Biomedical Engineering

Advancing Brain-Computer Interface Closed-Loop Systems for Neurorehabilitation: Systematic Review of AI and Machine Learning Innovations in Biomedical Engineering

Journals

  1. Liu Z, Liu J, Zhang P, Xu X. PEDOT:PSS as a Bio-Solid Electrolyte Interphase for Neural Interfaces: From Molecular Design to Interfacial Intelligence. Polymers 2025;18(1):20 View
  2. Gan W, Xiao M, Chen S, Mohammed T, Song X. From “Scanning” to “Shaping”: An Ethical Risk and Governance Mechanism Study of AI Empowered Brain Computer Interfaces Based on the Reference of the Large-scale Game SOMA. Scientific Research Bulletin 2025;2(4):80 View
  3. Yu Z, Mulholland A, Huang T, Liu Q. Multimodal AI for Alzheimer Disease Diagnosis: Systematic Review of Datasets, Models, and Modalities. Journal of Medical Internet Research 2026;28:e85414 View
  4. Mongiardini E, Belardinelli P. Closing the Loop in Neuromodulation: A Review of Machine Learning Approaches for EEG-Guided Transcranial Magnetic Stimulation. Algorithms 2026;19(4):323 View
  5. Chuck Easttom . Machine Learning and Brain-Computer Interfaces for Medical and Psychiatric Translation, 2024-2026. Journal of Psychology and Neuroscience 2026 View
  6. Yao Y, Xu S, Kim E, Kim E, Wang Y, Kim H, Kim D, Kim N, Liang J, Shin Y. EEG Functional Network Responses to Immersive Virtual Reality in Alzheimer Disease and Mild Cognitive Impairment: An Exploratory Single-Session Three-Group Repeated-Measures Study (Preprint). JMIR Serious Games 2026 View

Books/Policy Documents

  1. Lu Y, Zhang Z, Peng G. Biosensors - Fundamentals, Applications, and Artificial Intelligence Integration [Working Title]. View

Conference Proceedings

  1. J R, Sangameswaran B, T B, V A, M R, M S. 2026 8th International Conference on Inventive Material Science and Applications (ICIMA). Real Time Brain to Spine Neural Bypass System for Paralyzed Patients using AI and Neuromodulation View