Integrating finite element analysis and physics-informed neural networks for biomechanical modeling of the human lumbar spine

Integrating finite element analysis and physics-informed neural networks for biomechanical modeling of the human lumbar spine

ABSTRACT: Background: Comprehending the biomechanical characteristics of the human lumbar spine is crucial for managing and preventing spinal disorders. Precise material properties derived from patient-specific CT scans are essential for simulations to accurately mimic real-life scenarios, which is...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohsen Ahmadi, Debojit Biswas, PhD, Rudy Paul, Maohua Lin, PhD, Yufei Tang, PhD, Talha S. Cheema, MHA, Erik D. Engeberg, PhD, Javad Hashemi, PhD, Frank D. Vrionis, MD, PhD
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:North American Spine Society Journal
Subjects:
Lumbar spine
Finite element analysis
Physics-informed neural networks
Material properties
Spinal simulation
Vertebrae segmentation
Online Access:http://www.sciencedirect.com/science/article/pii/S2666548425000186
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2666548425000186

Similar Items