J
Jaims Lim
Researcher at Vanderbilt University
Publications - 12
Citations - 585
Jaims Lim is an academic researcher from Vanderbilt University. The author has contributed to research in topics: Endoscopic third ventriculostomy & Hydrocephalus. The author has an hindex of 9, co-authored 12 publications receiving 313 citations. Previous affiliations of Jaims Lim include University at Buffalo & Vanderbilt University Medical Center.
Papers
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Journal ArticleDOI
Traumatic Spinal Injury: Global Epidemiology and Worldwide Volume.
Ramesh Kumar,Jaims Lim,Rania A. Mekary,Abbas Rattani,Michael C. Dewan,Salman Sharif,Enrique Osorio-Fonseca,Kee B. Park +7 more
TL;DR: TSI is a major source of morbidity and mortality throughout the world and largely preventable mechanisms, including road traffic accidents and falls, are the main causes of TSI globally.
Journal ArticleDOI
Machine-learning analysis outperforms conventional statistical models and CT classification systems in predicting 6-month outcomes in pediatric patients sustaining traumatic brain injury
Andrew T. Hale,David P. Stonko,Amber Brown,Jaims Lim,David J. Voce,Stephen R Gannon,Truc M Le,Chevis N. Shannon +7 more
TL;DR: This study showed that machine-learning can be leveraged to more accurately predict TBI outcomes in children.
Journal ArticleDOI
The durability of endoscopic third ventriculostomy and ventriculoperitoneal shunts in children with hydrocephalus following posterior fossa tumor resection: a systematic review and time-to-failure analysis.
TL;DR: ETV failure occurred sooner than VPS failure, but long-term treatment durability may be higher for ETV, and the optimal treatment for PFBT-related hydrocephalus warrants investigation through prospective studies.
Journal ArticleDOI
Using an artificial neural network to predict traumatic brain injury.
Andrew T. Hale,David P. Stonko,David P. Stonko,Jaims Lim,Oscar D. Guillamondegui,Oscar D. Guillamondegui,Oscar D. Guillamondegui,Chevis N. Shannon,Chevis N. Shannon,Chevis N. Shannon,Mayur B. Patel +10 more
TL;DR: Artificial intelligence is utilized to predict CRTBI using radiologist-interpreted CT information with > 99% sensitivity and an AUC of 0.99, providing an evidence-based mechanism for safe discharge.
Journal ArticleDOI
The cost of hydrocephalus: a cost-effectiveness model for evaluating surgical techniques
Jaims Lim,Alan R. Tang,Alan R. Tang,Campbell Liles,Campbell Liles,Alexander A. Hysong,Alexander A. Hysong,Andrew T. Hale,Andrew T. Hale,Christopher M Bonfield,Christopher M Bonfield,Robert P. Naftel,Robert P. Naftel,John C. Wellons,John C. Wellons,Chevis N. Shannon,Chevis N. Shannon +16 more
TL;DR: This study highlights the importance of patient-specific treatment decisions that are based on etiology and previous intervention as a driving force in the cost of care.