Development of End-to-End Artificial Intelligence Models for Surgical Planning in Transforaminal Lumbar Interbody Fusion

Development of End-to-End Artificial Intelligence Models for Surgical Planning in Transforaminal Lumbar Interbody Fusion

Transforaminal lumbar interbody fusion (TLIF) is a commonly used technique for treating lumbar degenerative diseases. In this study, we developed a fully computer-supported pipeline to predict both the cage height and the degree of lumbar lordosis subtraction from the pelvic incidence (PI-LL) after...

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Bibliographic Details
Main Authors: Anh Tuan Bui, Hieu Le, Tung Thanh Hoang, Giam Minh Trinh, Hao-Chiang Shao, Pei-I Tsai, Kuan-Jen Chen, Kevin Li-Chun Hsieh, E-Wen Huang, Ching-Chi Hsu, Mathew Mathew, Ching-Yu Lee, Po-Yao Wang, Tsung-Jen Huang, Meng-Huang Wu
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Bioengineering
Subjects:
spinal fusion
interbody cage
sagittal balance
artificial intelligence
machine learning
spinal parameters
Online Access:https://www.mdpi.com/2306-5354/11/2/164

Internet

https://www.mdpi.com/2306-5354/11/2/164

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