Artificial intelligence assisted operative anatomy recognition in endoscopic pituitary surgery

DZ Khan, A Valetopoulou, A Das, JG Hanrahan… - npj Digital …, 2024 - nature.com
Pituitary tumours are surrounded by critical neurovascular structures and identification of
these intra-operatively can be challenging. We have previously developed an AI model …

Super-resolution landmark detection networks for medical images

R Zhang, H Mo, W Hu, B Jie, L Xu, Y He, J Ke… - Computers in Biology …, 2024 - Elsevier
Craniomaxillofacial (CMF) and nasal landmark detection are fundamental components in
computer-assisted surgery. Medical landmark detection method includes regression-based …

PitRSDNet: Predicting intra‐operative remaining surgery duration in endoscopic pituitary surgery

A Wijekoon, A Das, RR Herrera… - Healthcare …, 2024 - Wiley Online Library
Abstract Accurate intra‐operative Remaining Surgery Duration (RSD) predictions allow for
anaesthetists to more accurately decide when to administer anaesthetic agents and drugs …

The Impact of Operative Video Review and Annotation on Training in Endoscopic Pituitary Surgery: A Preclinical Randomised Controlled Study

EJ Burrows, J Starup-Hansen, DZ Khan, CH Koh… - medRxiv, 2024 - medrxiv.org
Objective This study evaluated the effect of active operative video annotation on surgical
education, specifically focusing on implementability, knowledge acquisition, skill …

神経内視鏡画像における機能性下垂体腫瘍を含めた手術支援AI システムの構築

布施佑太郎, 竹内和人, 橋本典明, 永田雄一… - 日本内分泌学会 …, 2024 - jstage.jst.go.jp
* 1 名古屋大学大学院医学系研究科 脳神経外科,* 2 名古屋大学メディカル AI
人材養成産学協働拠点 AI-MAILs* 3 理化学研究所 革新知能統合研究センター,* 4 …