AIMC Topic: Simulation Training

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Building Clinical Simulations With ChatGPT in Nursing Education.

The Journal of nursing education
BACKGROUND: Competency-based nursing education necessitates effective instructional methods and assessment tools for evaluating students' knowledge, skills, and attitudes. Clinical simulation has emerged as a valuable approach, but creating well-craf...

On-chip photonic diffractive optical neural network based on a spatial domain electromagnetic propagation model.

Optics express
An integrated physical diffractive optical neural network (DONN) is proposed based on a standard silicon-on-insulator (SOI) substrate. This DONN has compact structure and can realize the function of machine learning with whole-passive fully-optical m...

High-speed serial deep learning through temporal optical neurons.

Optics express
Deep learning is able to functionally mimic the human brain and thus, it has attracted considerable recent interest. Optics-assisted deep learning is a promising approach to improve forward-propagation speed and reduce the power consumption of electr...

Using Virtual Simulation To Increase Deep Learning in Radiography Students.

Radiologic technology
PURPOSE: To discuss recent studies that validate the combination of traditional teaching and virtual simulation training in reducing common errors, enhancing students' confidence, improving their performance, and increasing deep learning.

VR and machine learning: novel pathways in surgical hands-on training.

Current opinion in urology
PURPOSE OF REVIEW: Surgical training has dramatically changed over the last decade. It has become not only the way to prepare surgeons for their everyday work, but also a way to certify their skills thus increasing patient safety. This article review...

Training in robot-assisted surgery.

Current opinion in urology
PURPOSE OF REVIEW: The aim of this narrative review is to identify the currently available training programs in the field of robotic-assisted surgery.

Interactive Machine Learning for Laboratory Data Integration.

Studies in health technology and informatics
Laboratory data collected in the electronic health record as part of routine care can be used in secondary research. For example, the US Department of Veterans Affairs maintains a data warehouse covering over 20 million individuals and 6.6 billion la...

Effects of robot-assisted training on upper limb functional recovery during the rehabilitation of poststroke patients.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: The study aims to determine the effectiveness of robot-assisted training in the recovery of stroke-affected arms using an exoskeleton robot Armeo Spring.