To conduct a visual analysis of institutional publications, individual publications and publication keywords in the field of laboratory biosafety using the Web of Science database from 2000 to 2022.VOSviewer 1.6.
View Article and Find Full Text PDFCaregivers are engaging in recreational travel with the neuro-oncology patients they care for, yet there is little scientific research on this phenomenon. The purpose of this study is to examine the experiences of recreational travel among caregiver-patient with brain cancer dyads from the perspective of the caregivers. Specifically, we examined (1) context (i.
View Article and Find Full Text PDFObjectives: Here we describe the development and pilot testing of the first artificial intelligence (AI) software "copilot" to help train novices to competently perform flexible fiberoptic laryngoscopy (FFL) on a mannikin and improve their uptake of FFL skills.
Methods: Supervised machine learning was used to develop an image classifier model, dubbed the "anatomical region classifier," responsible for predicting the location of camera in the upper aerodigestive tract and an object detection model, dubbed the "anatomical structure detector," responsible for locating and identifying key anatomical structures in images. Training data were collected by performing FFL on an AirSim Combo Bronchi X mannikin (United Kingdom, TruCorp Ltd) using an Ambu aScope 4 RhinoLaryngo Slim connected to an Ambu® aView™ 2 Advance Displaying Unit (Ballerup, Ambu A/S).