The project scope also included a formative study with the aim of identifying potential improvements in terms of usability and safety of the graphical user interface (GUI) for controlling a “deep-learning” algorithm for the evaluation of medical imaging by potential users (radiologists, medical physicists and techs). The algorithm was developed by COSMONiO BV of Groningen. The AI platform behind it is called NOUS.
NOUS is an AI platform that can be taught to recognize specific patterns in 2D image data. As part of DAME, it is being further developed for an expansion of applications for radiologists as well as medical physicists.
The formative study was conducted as a expert interviews by Use-Lab’s interdisciplinary human factors expert team of application specialists, engineers, usability experts and designers. The GUI was presented to the team and discussed and critiqued in a collective brainstorming session. The expertise was extended by interviewing a radiologist and two medical physicists.
The goal of the study was to highlight strengths and weaknesses of the GUI, focusing on the usability of the GUI for training the algorithm to detect specific tissue in CT scans.
Based on the expertise and feedback from external experts, recommendations for the design of the GUI were derived, on the basis of which a completely revised GUI was developed.