Projects

AI for Radiology Anomaly Detection

A medical start-up partnered with CeADAR to support the development of their product which is a disruptive quality assurance AI technology that enables radiologists to identify the likelihood of anomaly in their report/diagnosis in real time, minimising risks of delay and error in diagnosis. Over the course of a 10 month project CeADAR supported the completion of the MVP by enhancing the fundamental ML modelling approach, creating a robust, scalable and extensible data pipeline and developing an end-to-end ML architecture.