Abstract Medical instrument detection is essential for computer-assisted interventions, since it facilitates clinicians to find instruments efficiently with a better interpretation, thereby improving clinical outcomes. This article reviews image-based medical methods ultrasound-guided (US-guided) operations. Literature selected based on an exhaustive search in different sources, including Googl...

The aim of this paper is to describe the development of a new, brief, easy-to-administer self-reported instrument designed to assess patient participation in decision making in surgical treatment. We describe item generation, psychometric testing, and validity of the instrument. The final scale consisted of four factors: information dissemination (5 items), formulation of options (4 items), int...

Automatic low-level surgical activity recognition is today well-known technical bottleneck for smart and situationaware assistance for the operating room of the future. Our study sought to discover which sensors and signals could facilitate this recognition. Low-level surgical activity represents semantic information about a surgical procedure that is usually expressed by the following elements...

Recent advances in robotics and deep learning can be used endoscopic surgeries provide numerous advantages by freeing one of the surgeon's hands. This study aims to automatically detect tip instrument, localize a point, evaluate detection accuracy biportal spine surgery (BESS). The could serve as preliminary for development vision intelligence robotic endoscopy. dataset contains 2310 frames fro...

Innovation has vast morphological meanings but is simply defined as the act of announcing something new or the use of a novel idea or technique. In some cases, it is practiced as replacement to invention, though innovation is further accurately outlined as something thought up or mentally fabricated. Although innovation in surgery has a less than perfect tradition, the field and research of sur...

Global and local relational reasoning enable scene understanding models to perform human-like analysis understanding. Scene enables better semantic segmentation object-to-object interaction detection. In the medical domain, a robust surgical model allows automation of skill evaluation, real-time monitoring surgeon’s performance post-surgical analysis. This letter introduces globally-reasoned mu...

Through this paper issue of on-line detection of short winding fault in three-phase induction motors is presented, and a technique, based on the computer-aided monitoring of the stator current Park’s Vector, is proposed. The park's vector model is realized by employing Virtual instrumentation. The Virtual Instrumentation is acquired by programming in Lab-view software. Laboratory analysis was p...

After its investigation of cross-contamination from arthroscopic shavers, the US Food and Drug Administration issued an alert to hospitals about medical device reprocessing methods. In response to this, a team of risk management and instrument room personnel at a university hospital undertook a project that tested the manufacturer's recommended cleaning methods for surgical instruments with the...