Jaims Lim

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 et al. · Neurosurgical FOCUS · 2018 · 105 citations · Full text

Medicine, Child Health, Pediatrics +13

The cost of hydrocephalus: a cost-effectiveness model for evaluating surgical techniques

Jaims Lim, Alan R. Tang, Campbell Liles et al. · Journal of Neurosurgery Pediatrics · 2018 · 50 citations

Pharmacy, Pharmacoeconomics, Surgery +17

Stenting for Venous Sinus Stenosis in Patients With Idiopathic Intracranial Hypertension: An Updated Systematic Review and Meta-Analysis of the Literature

Jaims Lim, André Monteiro, Cathleen C. Kuo et al. · Neurosurgery · 2023 · 48 citations

Medicine, Neurosurgery, Surgery +15

Using an artificial neural network to predict traumatic brain injury

Andrew T. Hale, David P. Stonko, Jaims Lim et al. · Journal of Neurosurgery Pediatrics · 2018 · 44 citations · Full text

Computing, Computer Science, Radiology +16

E-108 Aladin study: automated large artery occlusion detection in stroke imaging study – a multicenter analysis

Clara Barreira, Mehdi Bouslama, Jaims Lim et al. · 2018 · 30 citations

Medicine, Neurology, Radiology +17