Carolina Forero
Papers
1
Total Citations
11
H-Index
1
About
Carolina Forero is a biomedical engineer whose work sits at the intersection of neurosurgery, robotics, and medical imaging. Her research focuses on developing highly realistic simulation frameworks for robot-assisted, real-time MRI-guided laser interstitial thermal therapy (LITT), a minimally invasive technique used to treat deep-seated brain lesions such as hypothalamic hamartomas. Forero’s most cited paper, published in 2020, demonstrates a sophisticated simulation platform that integrates patient-specific anatomical models with robotic control systems, enabling surgeons to rehearse and refine complex thermal ablation procedures before entering the operating room. This work has garnered 11 citations, reflecting its relevance to the growing field of image-guided therapy and surgical robotics. By bridging the gap between computational modeling and clinical practice, Forero’s contributions help improve the precision and safety of neurosurgical interventions, particularly for pediatric epilepsy patients. Her research is notable for its emphasis on translational impact, combining engineering rigor with direct clinical applicability. Forero’s work continues to inform the design of next-generation surgical simulators and robotic systems, positioning her as an emerging voice in the advancement of personalized, technology-driven neurosurgery.
Research Focus
Key Achievements
Top Papers
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