Validation of a new optical diagnosis training module to improve dysplasia characterization in inflammatory bowel disease: a multicenter international study

Background and Aims: Inflammatory bowel disease (IBD) increases risk of dysplasia and colorectal cancer. Advanced endoscopic techniques allow for the detection and characterization of IBD dysplastic lesions, but specialized training is not widely available. We aimed to develop and validate an online training platform to improve the detection and characterization of colonic lesions in IBD: OPtical diagnosis Training to Improve dysplasia Characterization in Inflammatory Bowel Disease (OPTIC-IBD). Methods: We designed a web-based learning module that includes surveillance principles, optical diagnostic methods, approach to characterization, and classifications of colonic lesions using still images and videos. We invited gastroenterologists from Canada, Italy, and the United Kingdom with a wide range of experience. Participants reviewed 24 educational videos of IBD colonic lesions, predicted histology, and rated their confidence. The primary endpoint was to improve accuracy in detecting dysplastic lesions after training on the platform. Furthermore, participants were randomized 1:1 to get additional training or not, with a final assessment occurring after 60 days. Diagnostic performance for dysplasia and rater confidence were measured. Results: A total of 117 participants completed the study and were assessed for the primary endpoint. Diagnostic accuracy improved from 70.8% to 75.0% (P = .002) after training, with the greatest improvements seen in less experienced endoscopists. Improvements in both accuracy and confidence were sustained after 2 months of assessment, although the group randomized to receive additional training did not improve further. Similarly, participants’ confidence in characterizing lesions significantly improved between before and after the course (P < .001), and it was sustained after 2 months of assessment. Conclusions: The OPTIC-IBD training module demonstrated that an online platform could improve participants’ accuracy and confidence in the optical diagnosis of dysplasia in patients with IBD. The training platform can be widely available and improve endoscopic care for people with IBD

Sensor-based decision making in precast concrete production

Creagh concrete required a digital solution to reduce the factory occupation time, enable smart storage/retrieval, faster inventory, and efficient product tracking at site. Working with Queen’s University Belfast, the team developed a four-part solution for this problem. A wireless in-concrete sensor that provides temperature and location tracking, a receiver (node) that can connect to several of these sensors and have environmental sensing capability, a wired receiver (family) that integrate several nodes and a LoRa gateway mounted at altitude to integrate all family and cover the entire production yard. This article outlines the features of the digital solution, curing duration and influence of the ambient environment, benefits to the production and challenges that lay ahead.<br/