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D. Khan

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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
#edge computing Review Open access Oct 2026

First-in-human evaluation of real-time pixel-level AI-assisted anatomical segmentation in neurosurgery: pituitary surgery as an exemplar

Precise anatomical navigation is fundamental to safe endoscopic pituitary surgery, a high-stakes procedure characterised by a challenging learning curve. While traditional navigation systems often rely on workflow-disrupting probes or static preoperative imaging, advancements in computer vision AI (CVAI) now enable dyn...

D. Khan, Z. Mao, Anjana Wijekoon et al. · 0 citations

Replay-free Sequential Fine-tuning of Medical VLMs

The streamlined, replay-free approach proves highly effective on a new continual learning benchmark and a practical path toward building prehensive, continually-learning medical VLMs and advancing the development of medical AI.

Hefei Li, Yuhui Zhang, Xiaohan Wang et al. · 0 citations

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