Repositorio Universidad del Desarrollo
metadata only
Development of an artificial intelligence powered software for automated analysis of skeletal muscle ultrasonography
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 intelligenc
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Quantitative Assessment of Forearm Muscle Architecture Using Dynamic High-Frequency Ultrasound: Determinants of Grip Strength and Predictive Modeling#231428
- Multiparametric Ultrafast Ultrasound Biomarkers for Duchenne and Becker Muscular Dystrophies#801305
- Real-time Artificial Intelligent (AI)-Assisted Muscle Ultrasound for Monitoring Muscle Mass Reduction in ICU Patients#862577
- Skeletal Muscle Index and a Neuromuscular Blocking Agent#898477
- Automated UltraSound Software for Identification of Lumbar Vertebral Levels#840605
Record · ID 1098699
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive