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

Journal article

IntroductionPrecise 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 dynamic, real-time pixel-level anatomical segmentation directly from live surgical video. Our group has previously conducted a series of preclinical human-computer inte...

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Authors: Khan, DZ; Mao, Z; Wijekoon, A; Das, A; Williams, SC

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: Springer
• Journal: Pituitary More from this journal
• Volume: 29
• Issue: 5
• Pages: 163
• Publication date: 2026-10-03
• DOI: 10.1007/s11102-026-01762-x
• EISSN: 1573-7403
• ISSN: 1386-341X
• Language: English
• Keywords: edge computing; human factors; usability and acceptability; endoscopic transsphenoidal pituitary surgery; carotid artery segmentation; IDEAL framework; surgical navigation; AI-assisted surgery; pituitary adenoma