Computer vision in surgery: from potential to clinical value

P Mascagni, D Alapatt, L Sestini, MS Altieri… - npj Digital …, 2022 - nature.com
Hundreds of millions of operations are performed worldwide each year, and the rising
uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become …

Artificial intelligence and automation in endoscopy and surgery

F Chadebecq, LB Lovat, D Stoyanov - … Reviews Gastroenterology & …, 2023 - nature.com
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

Robot-assisted minimally invasive surgery—Surgical robotics in the data age

T Haidegger, S Speidel, D Stoyanov… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Telesurgical robotics, as a technical solution for robot-assisted minimally invasive surgery
(RAMIS), has become the first domain within medicosurgical robotics that achieved a true …

Human visual explanations mitigate bias in AI-based assessment of surgeon skills

D Kiyasseh, J Laca, TF Haque, M Otiato, BJ Miles… - NPJ Digital …, 2023 - nature.com
Artificial intelligence (AI) systems can now reliably assess surgeon skills through videos of
intraoperative surgical activity. With such systems informing future high-stakes decisions …

Surgicalsam: Efficient class promptable surgical instrument segmentation

W Yue, J Zhang, K Hu, Y Xia, J Luo… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
The Segment Anything Model (SAM) is a powerful foundation model that has revolutionised
image segmentation. To apply SAM to surgical instrument segmentation, a common …

Labelling instructions matter in biomedical image analysis

T Rädsch, A Reinke, V Weru, MD Tizabi… - Nature Machine …, 2023 - nature.com
Biomedical image analysis algorithm validation depends on high-quality annotation of
reference datasets, for which labelling instructions are key. Despite their importance, their …

A Delphi consensus statement for digital surgery

K Lam, MD Abràmoff, JM Balibrea, SM Bishop… - NPJ digital …, 2022 - nature.com
The use of digital technology is increasing rapidly across surgical specialities, yet there is no
consensus for the term 'digital surgery'. This is critical as digital health technologies present …

[HTML][HTML] Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the heichole benchmark

M Wagner, BP Müller-Stich, A Kisilenko, D Tran… - Medical image …, 2023 - Elsevier
Purpose Surgical workflow and skill analysis are key technologies for the next generation of
cognitive surgical assistance systems. These systems could increase the safety of the …

Image-guided interventional robotics: Lost in translation?

G Fichtinger, J Troccaz, T Haidegger - Proceedings of the IEEE, 2022 - ieeexplore.ieee.org
Interventional robotic systems have been deployed with all existing imaging modalities in an
expansive portfolio of therapies and surgeries. Over the years, literature reviews have …

Federated cycling (FedCy): Semi-supervised Federated Learning of surgical phases

H Kassem, D Alapatt, P Mascagni… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Recent advancements in deep learning methods bring computer-assistance a step closer to
fulfilling promises of safer surgical procedures. However, the generalizability of such …