Machine learning for technical skill assessment in surgery: a systematic review

K Lam, J Chen, Z Wang, FM Iqbal, A Darzi, B Lo… - NPJ digital …, 2022 - nature.com
Accurate and objective performance assessment is essential for both trainees and certified
surgeons. However, existing methods can be time consuming, labor intensive, and subject …

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 …

A vision transformer for decoding surgeon activity from surgical videos

D Kiyasseh, R Ma, TF Haque, BJ Miles… - Nature biomedical …, 2023 - nature.com
The intraoperative activity of a surgeon has substantial impact on postoperative outcomes.
However, for most surgical procedures, the details of intraoperative surgical actions, which …

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 …

Opera: Attention-regularized transformers for surgical phase recognition

T Czempiel, M Paschali, D Ostler, ST Kim… - … Image Computing and …, 2021 - Springer
In this paper we introduce OperA, a transformer-based model that accurately predicts
surgical phases from long video sequences. A novel attention regularization loss …

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 …

[HTML][HTML] The impact of machine learning on 2d/3d registration for image-guided interventions: A systematic review and perspective

M Unberath, C Gao, Y Hu, M Judish… - Frontiers in Robotics …, 2021 - frontiersin.org
Image-based navigation is widely considered the next frontier of minimally invasive surgery.
It is believed that image-based navigation will increase the access to reproducible, safe, and …

Human health during space travel: state-of-the-art review

C Krittanawong, NK Singh, RA Scheuring, E Urquieta… - Cells, 2022 - mdpi.com
The field of human space travel is in the midst of a dramatic revolution. Upcoming missions
are looking to push the boundaries of space travel, with plans to travel for longer distances …

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 …