Computer vision in surgery: from potential to clinical value
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 …
uptake in minimally invasive surgery has enabled fiber optic cameras and robots to become …
Artificial intelligence and automation in endoscopy and surgery
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …
displays to electronics connecting configurable illumination and actuation systems for …
Robot-assisted minimally invasive surgery—Surgical robotics in the data age
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 …
(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
Artificial intelligence (AI) systems can now reliably assess surgeon skills through videos of
intraoperative surgical activity. With such systems informing future high-stakes decisions …
intraoperative surgical activity. With such systems informing future high-stakes decisions …
Surgicalsam: Efficient class promptable surgical instrument segmentation
The Segment Anything Model (SAM) is a powerful foundation model that has revolutionised
image segmentation. To apply SAM to surgical instrument segmentation, a common …
image segmentation. To apply SAM to surgical instrument segmentation, a common …
Labelling instructions matter in biomedical image analysis
Biomedical image analysis algorithm validation depends on high-quality annotation of
reference datasets, for which labelling instructions are key. Despite their importance, their …
reference datasets, for which labelling instructions are key. Despite their importance, their …
A Delphi consensus statement for digital surgery
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 …
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 …
cognitive surgical assistance systems. These systems could increase the safety of the …
Image-guided interventional robotics: Lost in translation?
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 …
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 …
fulfilling promises of safer surgical procedures. However, the generalizability of such …