Video-based performance analysis in pituitary surgery—Part 1: Surgical outcomes

DZ Khan, CH Koh, A Das, A Valetopolou… - World neurosurgery, 2024 - Elsevier
Background Endoscopic pituitary adenoma surgery has a steep learning curve, with varying
surgical techniques and outcomes across centers. In other surgeries, superior performance …

Pitvis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgery

A Das, DZ Khan, D Psychogyios, Y Zhang… - arXiv preprint arXiv …, 2024 - arxiv.org
The field of computer vision applied to videos of minimally invasive surgery is ever-growing.
Workflow recognition pertains to the automated recognition of various aspects of a surgery …

Video-based performance analysis in pituitary surgery-part 2: Artificial intelligence assisted surgical coaching

DZ Khan, N Newall, CH Koh, A Das, S Aapan… - World neurosurgery, 2024 - Elsevier
Background Superior surgical skill improves surgical outcomes in endoscopic pituitary
adenoma surgery. Video-based coaching programs, pioneered in professional sports, have …

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 …

Automated surgical skill assessment in endoscopic pituitary surgery using real‐time instrument tracking on a high‐fidelity bench‐top phantom

A Das, B Sidiqi, L Mennillo, Z Mao… - Healthcare …, 2024 - Wiley Online Library
Improved surgical skill is generally associated with improved patient outcomes, although
assessment is subjective, labour intensive, and requires domain‐specific expertise …

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 …

Surgical phase and instrument recognition: how to identify appropriate dataset splits

G Kostiuchik, L Sharan, B Mayer, I Wolf, B Preim… - International Journal of …, 2024 - Springer
Purpose Machine learning approaches can only be reliably evaluated if training, validation,
and test data splits are representative and not affected by the absence of classes. Surgical …

[HTML][HTML] Automatic generation of operation notes in endoscopic pituitary surgery videos using workflow recognition

A Das, DZ Khan, JG Hanrahan, HJ Marcus… - Intelligence-Based …, 2023 - Elsevier
Operation notes are a crucial component of patient care. However, writing them manually is
prone to human error, particularly in high pressured clinical environments. Automatic …

Attention in Surgical Phase Recognition for Endoscopic Pituitary Surgery: Insights from Real-World Data

A Gonzalez Cebrian, S Bordonaba, J Pascau… - Available at SSRN … - papers.ssrn.com
The usefulness of support systems in the improvement of surgical interventions is widely
acknowledged. The inclusion of Surgical Phase Recognition systems in future operating …