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 …

The use of machine learning systems for decision-support in healthcare may exacerbate
health inequalities. However, recent work suggests that algorithms trained on sufficiently …

Background Similar to clinical palpation, Ultrasound elastography (USE) helps distinguish
between tissues by providing information on their elasticity. While it has been widely …

Artificial Intelligence (AI) is increasingly transforming the regulatory compliance landscape in
the oil and gas industry. This abstract examines the profound impact of AI on ensuring …

Surgical data quantification and comprehension expose subtle patterns in tasks and
performance. Enabling surgical devices with artificial intelligence provides surgeons with …

“See one, do one, teach one” is an adage no longer applicable to most modern academic
medical centers which have embraced instead the idea of “perfect practice makes perfect.” It …

Artificial Intelligence (AI) is increasingly transforming the regulatory compliance landscape in
the oil and gas industry. This paper examines the profound impact of AI on ensuring …

METHODS: In a retrospective study including 117 patients who underwent CEA,
acceleration of the carotid artery was measured during exposure through a video-based …

Aims: To outline the use of cloud-based artificial intelligence (AI)-driven video analytics
(CAVs) in minimally invasive surgery and to propose their potential as a virtual portfolio for …

Surgical context-aware systems (SCAS), which leverage real-time data and analysis from
the operating room to inform surgical activities, can be enhanced through the integration of …