Author

Michael T. Chang

3 papers indexed here

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Apr 2026

Large Language Models versus Expert Response: A Comparative Analysis of Patient Education Quality after Skull Base Surgery

Abstract Objective Patients undergoing endoscopic skull base surgery (ESBS) often seek postoperative guidance. Large language models (LLMs) are increasingly accessible resources, but their quality in this setting remains poorly studied. This study compared LLM-generated responses with expert responses for common postop...

M. Manavi, Noel F. Ayoub, Arifeen S. Rahman et al. · Skull Base · 0 citations

Oct 2026

Large Language Models vs Expert Response: A Comparative Analysis of Patient Education Quality After Skull Base Surgery

Objective: Patients undergoing endoscopic skull base surgery (ESBS) often seek postoperative guidance. Large language models (LLMs) are increasingly accessible resources, but their quality in this setting remains poorly studied. This study compared LLM-generated responses with expert responses for common postoperative...

M. Manavi, Noel F. Ayoub, Arifeen S. Rahman et al. · Skull Base · 0 citations

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. · World Journal of Otorhinolar... · 1 citation