The use of artificial intelligence, and the deep-learning subtype in particular, has been
enabled by the use of labeled big data, along with markedly enhanced computing power …

Objective: To provide an overview of ML models and data streams utilized for automated
surgical phase recognition. Background: Phase recognition identifies different steps and …

The intraoperative activity of a surgeon has substantial impact on postoperative outcomes.
However, for most surgical procedures, the details of intraoperative surgical actions, which …

Artificial intelligence (AI)—the ability of a machine to perform cognitive tasks to achieve a
particular goal based on provided data—is revolutionizing and reshaping our health-care …

Most surgeons are skeptical as to the feasibility of autonomous actions in surgery.
Interestingly, many examples of autonomous actions already exist and have been around for …

Modern endoscopy relies on digital technology, from high-resolution imaging sensors and
displays to electronics connecting configurable illumination and actuation systems for …

Background Despite the extensive published literature on the significant potential of artificial
intelligence (AI) there are no reports on its efficacy in improving patient safety in robot …

Artificial intelligence (AI) is the field of computer science that aims to build smart devices
performing tasks that currently require human intelligence. Through machine learning (ML) …

Surgical skills are associated with clinical outcomes. To improve surgical skills and thereby
reduce adverse outcomes, continuous surgical training and feedback is required. Currently …

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 …