This paper is in the following e-collection/theme issue:

Biomedical Engineering Reviews (15) Artificial Intelligence (2229) Clinical Information and Decision Making (1987) Machine Learning (2153) Cognitive and Neurorehabilitation (367) Dementia and Cognitive Decline (716) Brain-Machine Interfaces (23)

Published on in Vol 10 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72218, first published .
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

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

Authors of this article:

Christopher Williams1 Author Orcid Image ;   Fahim Islam Anik2 Author Orcid Image ;   Md Mehedi Hasan3 Author Orcid Image ;   Juan Rodriguez-Cardenas3 Author Orcid Image ;   Anushka Chowdhury4 Author Orcid Image ;   Shirley Tian3 Author Orcid Image ;   Selena He3 Author Orcid Image ;   Nazmus Sakib3 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

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. Xiao M, Gan W, 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