AI Medical Compendium Topic:
Clinical Competence

Clear Filters Showing 421 to 430 of 579 articles

Human/robotic interaction: vision limits performance in simulated vitreoretinal surgery.

Acta ophthalmologica
PURPOSE: Compare accuracy and precision in XYZ of stationary and dynamic tasks performed by surgeons with and without the use of a tele-operated robotic micromanipulator in a simulated vitreoretinal environment. The tasks were performed using a surgi...

Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.

PLoS medicine
BACKGROUND: Chest radiograph interpretation is critical for the detection of thoracic diseases, including tuberculosis and lung cancer, which affect millions of people worldwide each year. This time-consuming task typically requires expert radiologis...

Looks can be deceiving: Gaze pattern differences between novices and experts during placement of central lines.

American journal of surgery
BACKGROUND: The objective of this study was to determine whether gaze patterns could differentiate expertise during simulated ultrasound-guided Internal Jugular Central Venous Catheterization (US-IJCVC) and if expert gazes were different between simu...

How can the presence of a surgical care practitioner improve training for staff who are learning how to scrub for robotics cases in a urology theatre?

Journal of perioperative practice
AIM: This study examines how a surgical care practitioner can contribute to the learning needs of junior scrub staff learning to scrub for urological robotics cases. Key themes include education, technical training, non-technical skills, patient safe...

The application of artificial intelligence in the IMRT planning process for head and neck cancer.

Oral oncology
Artificial intelligence (AI) is beginning to transform IMRT treatment planning for head and neck patients. However, the complexity and novelty of AI algorithms make them susceptible to misuse by researchers and clinicians. Understanding nuances of ne...

Self-debriefing Model Based on an Integrated Video-Capture System: An Efficient Solution to Skill Degradation.

Journal of surgical education
OBJECTIVE: Video-based teaching is considered highly effective in debriefing, especially in minimally invasive surgeries. In this study, the benefits of using a new integrated video recording system, were investigated and compared to those of the sta...

Deep learning with convolutional neural network for objective skill evaluation in robot-assisted surgery.

International journal of computer assisted radiology and surgery
PURPOSE: With the advent of robot-assisted surgery, the role of data-driven approaches to integrate statistics and machine learning is growing rapidly with prominent interests in objective surgical skill assessment. However, most existing work requir...

Microanalysis of video from a robotic surgical procedure: implications for observational learning in the robotic environment.

Journal of robotic surgery
Without haptic feedback, robotic surgeons rely on visual processing to interpret the operative field. To provide guidance for teaching in this environment, we analyzed intracorporeal actions and behaviors of a robotic surgeon. Six hours of video were...