Author

Sophia Bano

3 papers indexed here

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Open access Sep 2026

AI assistance enables surgical residents to accurately annotate anatomical structures in laparoscopic surgery

Background The development of artificial intelligence in surgery is limited by the scarcity of annotated datasets. Recent advances in medical image segmentation, such as the Medical Segment Anything Model (MedSAM), may facilitate efficient annotation of surgical videos by residents. Methods Eight surgical residents a...

Antonio S. Soares, L. Castro, Patricia Martins et al. · Scientific Reports · 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. · Pituitary · 0 citations

#artificial intelligence Open access Oct 2025

Federated Learning for surgical vision in appendicitis classification: Results of the FedSurg EndoVis 2024 challenge.

The authors' analysis identifies temporal modeling as the architectural factor most consistently associated with generalization to the unseen center, although the effect is not uniform across metrics in the controlled baseline comparison, and both parameter-efficient baselines remain more costly than a constant predict...

Max Kirchner, Hanna Hoffmann, Alexander C. Jenke et al. · Medical Image Analysis · 1 citation