AI boosts radiologist perception training

A team in Europe has launched a novel web application to help radiology trainees gain skills in detecting lung nodules on chest x-rays,. They provided a step-by-step description of how to use it in an article published October 24 in the British Journal of Radiology. Significantly, the app leverages deep learning-based image segmentation in combination with computer-simulated lung nodules to automatically generate cases, lead author Jens Borgbjerg, MD, PhD, of Akershus University Hospital in Oslo, Norway, told AuntMinnie.com.“For the novice, beginning interpretation of cross-sectional imaging can be a daunting task,” he noted.Self-directed learning is a mainstay of radiological education. Systematic approaches to image interpretation are generally regarded as a cornerstone in the education of trainees. However, current desktop-based software tools are scarce, with many involving labor-intensive case curation, Borgbjerg explained.As a potential alternative, researchers have begun to explore the use of AI for artificially generating clinical cases. The concept is that AI can simulate lesions on top of previous imaging studies, which could eliminate the need for identifying real clinical cases.To that end, Borgbjerg and colleagues aimed to develop and make available a pure web-based application for perception training in lung nodule detection in chest x-rays.In brief, the researchers constructed a deep-learning model for lung segmentation based on open-access data from three ...

Source: AuntMinnie.com Headlines - October 31, 2023 Category: Radiology Authors: Will Morton Tags: Advanced Visualization Radiology Education Digital X-Ray Thoracic Imaging Source Type: news