Muscle Function and Neuromuscular Disorders: AI and Biomechanics in Diagnosis and Rehabilitation

Dear Colleagues,

Advancements in artificial intelligence (AI) and biomechanics are opening new possibilities for the study and treatment of neuromuscular disorders that impact muscle health, function, and repair. This Special Issue, “Muscle Function and Neuromuscular Disorders: AI and Biomechanics in Diagnosis and Rehabilitation”, focuses on the use of AI, machine learning, and biomechanical analysis to address a variety of muscle-related pathophysiologies. By integrating computational techniques, researchers and clinicians can gain new insights into muscle degeneration, function regulation, and personalized rehabilitation strategies, which are essential for maintaining and restoring muscle health.

This Special Issue aims to publish original research and review articles exploring the impact of neuromuscular disorders on muscle function and repair. Topics of interest include AI-driven muscle imaging analysis, predictive modeling for muscle degeneration, and biomechanical approaches for improved rehabilitation outcomes.

Topics of interest for this Special Issue include, but are not limited to, the following:

• AI-based analyses of muscle function and degeneration in neuromuscular disorders;
• The biomechanical modeling of muscle movement and gait for diagnostic and therapeutic purposes;
• Machine learning models predicting muscle repair and recovery in disorders such as muscular dystrophy and myopathies;
• Real-time AI feedback systems for muscle control and motor learning in rehabilitation settings;
• Applications of AI in wearable technology for monitoring muscle health and function;
• AI integration in multi-modal data analysis to support personalized muscle health interventions.

By aligning AI and biomechanics with muscle health research, this Special Issue provides a platform for interdisciplinary studies focused on neuromuscular function, rehabilitation, and muscle pathology. This issue will benefit researchers and clinicians who seek innovative approaches to improve muscle health and the management of muscle-related diseases.

Prof. Dr. Ka-Chun (Joseph) Siu
Dr. Saiteja Malisetty
Guest Editors

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. Muscles is an international peer-reviewed open access quarterly 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 1000 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.

• muscle function
• neuromuscular disorders
• biomechanics
• AI in muscle imaging
• motor learning
• rehabilitation in muscle health
• predictive modeling for muscle repair
• personalized muscle health interventions
• muscle degeneration monitoring
• wearable technology for muscle health