The Future of Human–Machine Collaboration: AI in Neural Rehabilitation and Assistive Technologies

A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neural Engineering, Neuroergonomics and Neurorobotics".

Deadline for manuscript submissions: 31 December 2025 | Viewed by 358

Special Issue Editor

Special Issue Information

Dear Colleagues,

The specific integration of artificial intelligence (AI) into neural rehabilitation and assistive technologies is actually revolutionizing the way we approach recovery and support for individuals with neurological impairments and disorders. AI-driven systems, such as brain–computer interfaces, neuroprosthetics, robotic exoskeletons, and adaptive learning algorithms, offer new opportunities for restoring motor functions, improving cognitive rehabilitation, and enhancing the quality of life for patients with neurodegenerative diseases, spinal cord injuries, or stroke.

This Special Issue aims to explore the most advancements, challenges, and future directions in AI-powered neural rehabilitation and assistive technologies. We welcome contributions focusing on the most frontier and cutting-edge scientific research in artificial intelligence applications, neuroengineering innovations, and human–machine interaction strategies specifically designed to enhance rehabilitation outcomes.

Topics of interest include, but are not limited to, the following:

  • AI-driven brain–computer interfaces (BCIs) for motor and cognitive rehabilitation;
  • Machine learning algorithms for personalized neurorehabilitation;
  • Robotics and exoskeletons for motor recovery and assistance;
  • AI-enhanced neurofeedback systems for rehabilitation therapy;
  • Neural signal processing and AI-based predictive modeling for recovery assessment;
  • Adaptive assistive technologies for individuals with neurological disorders;
  • AI and wearable devices for real-time monitoring of brain and motor functions;
  • Ethical considerations and human-centered design in AI-assisted neurorehabilitation;
  • The role of AI in speech and cognitive therapy for neurodegenerative conditions;
  • Virtual reality (VR), augmented reality (AR), and AI in rehabilitation environments.

Submission Guidelines: 

Researchers and practitioners in neuroscience, biomedical engineering, artificial intelligence, and related fields are invited to submit original research articles, reviews, and short communications. Submissions should align with the scope of Brain Sciences and adhere to the journal’s formatting and ethical guidelines.

We look forward to receiving innovative contributions that will shape the future of AI-assisted neural rehabilitation and assistive technologies.

Prof. Dr. Cristian Randieri
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Brain Sciences is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • neural rehabilitation
  • brain–computer interface
  • neuroprosthetics
  • machine learning
  • rehabilitation robotics
  • neuroengineering
  • assistive technology
  • wearable devices
  • neurosignal processing

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Published Papers (1 paper)

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22 pages, 1055 KiB  
Perspective
Non-Invasive Brain Stimulation and Artificial Intelligence in Communication Neuroprosthetics: A Bidirectional Approach for Speech and Hearing Impairments
by Thorsten Rudroff
Brain Sci. 2025, 15(5), 449; https://doi.org/10.3390/brainsci15050449 - 25 Apr 2025
Viewed by 212
Abstract
This perspective paper introduces a novel bidirectional framework for communication neuroprosthetics that integrates non-invasive brain stimulation (NIBS) with artificial intelligence (AI) to address both speech production and auditory processing impairments. Traditional approaches typically target only one aspect of communication, while this framework supports [...] Read more.
This perspective paper introduces a novel bidirectional framework for communication neuroprosthetics that integrates non-invasive brain stimulation (NIBS) with artificial intelligence (AI) to address both speech production and auditory processing impairments. Traditional approaches typically target only one aspect of communication, while this framework supports the complete communication cycle. The integration of transcranial direct current stimulation (tDCS) and transcranial alternating current stimulation (tACS) with advanced AI algorithms enables the personalized, adaptive enhancement of neural signals for both speaking and listening functions. This paper examines current evidence for NIBS efficacy in communication disorders, explores AI innovations in neural signal processing, and discusses implementation considerations for closed-loop systems. This bidirectional approach has the potential to provide more natural, effective communication support while promoting neuroplasticity for long-term recovery. The framework presented offers a roadmap for developing accessible communication interventions that could significantly improve the quality of life for individuals with speech and hearing impairments resulting from neurological conditions. Full article
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