The recent development in the areas of deep learning and deep convolutional neural
networks has significantly progressed and advanced the field of computer vision (CV) and …

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

Objective: To develop a deep learning model to automatically segment hepatocystic
anatomy and assess the criteria defining the critical view of safety (CVS) in laparoscopic …

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 …

Background: Clinical artificial intelligence (AI) has reached a critical inflection point.
Advances in algorithmic science and increased understanding of operational considerations …

Artificial intelligence (AI) represents a valuable tool that could be used to improve the safety
of care. Major adverse events in healthcare include: healthcare-associated infections …

The fields of computer vision (CV) and artificial intelligence (AI) have undergone rapid
advancements in the past decade, many of which have been applied to the analysis of …

The vital physiological role of the pituitary gland, alongside its proximity to critical
neurovascular structures, means that pituitary adenomas can cause significant morbidity or …

Technology has advanced surgery, especially minimally invasive surgery (MIS), including
laparoscopic surgery and robotic surgery. It has led to an increase in the number of …

This is a review focused on advances and current limitations of computer vision (CV) and
how CV can help us obtain to more autonomous actions in surgery. It is a follow-up article to …