Development of an artificial intelligence powered software for automated analysis of skeletal muscle ultrasonography

Development of an artificial intelligence powered software for automated analysis of skeletal muscle ultrasonography

Abstract Muscle ultrasound has high utility in clinical practice and research; however, the main challenges are the training and time required for manual analysis to achieve objective quantification of muscle size and quality. We aimed to develop and validate a software tool powered by artificial in...

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Bibliographic Details
Main Authors: Zoe Calulo Rivera, Felipe González-Seguel, Arimitsu Horikawa-Strakovsky, Catherine Granger, Aarti Sarwal, Sanjay Dhar, George Ntoumenopoulos, Jin Chen, V. K. Cody Bumgardner, Selina M. Parry, Kirby P. Mayer, Yuan Wen
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Skeletal muscle
Ultrasound
Automation software
Artificial intelligence
Medical image analysis
Online Access:https://doi.org/10.1038/s41598-025-99522-7
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https://doi.org/10.1038/s41598-025-99522-7

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