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Author

M. Masson-Forsythe

2 papers indexed here

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Open access Sep 2026

AI‐Based Automated Instrument Tracking During Endoscopic Skull Base Surgery: A Pilot Feasibility Study

ABSTRACT Background Endoscopic endonasal approaches (EEA) to skull base tumors are a technically challenging procedure for both surgeons and trainees. Artificial intelligence and computer vision (CV) may offer an objective analysis that provides surgical assessment on technique and enhanced educational feedback for sur...

David R. Grimm, Dhiraj Pangal, D. Khan et al. · 0 citations
#artificial intelligence Preprint Mar 2026

A Comparative Study in Surgical AI: Potential and Limitations of Data, Compute, and Scaling

It is demonstrated that even with multi-billion parameter models and extensive training, current Vision Language Models fall short in the seemingly simple task of tool detection in neurosurgery, and experiments suggest that current models could still face significant obstacles in surgical use cases.

K. Skobelev, Eric Fithian, Yegor Baranovski et al. · 0 citations

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