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- Title
319 Development and Validation of an Artificial Intelligence Model to Accurately Predict Spinopelvic Parameters.
- Authors
Harake, Edward S; Linzey, Joseph R.; Jiang, Cheng; Jones, Jaes C.; Joshi, Rushikesh; Zaki, Mark; Wilseck, Zachary; Joseph, Jacob; Hollon, Todd; Khalsa, Siri Sahib S.; Park, Paul
- Abstract
This document includes three abstracts from the Journal of Clinical & Translational Science. The first abstract discusses the development and validation of an artificial intelligence model to predict spinopelvic parameters in patients with adult spinal deformity. The second abstract examines the use of neuroimaging and hospitalization for transient ischemic attacks (TIAs) in the United States. The third abstract focuses on the prediction of dementia, disability, or death in elderly individuals using machine learning techniques. These abstracts provide valuable insights into the potential applications of artificial intelligence in healthcare and the management of various medical conditions.
- Publication
Journal of Clinical & Translational Science, 2024, Vol 8, p98
- ISSN
2059-8661
- Publication type
Abstract
- DOI
10.1017/cts.2024.289