Researchers from the Parc Taulí Research and Innovation Institute (I3PT) and the Eurecat technology centre are to begin a three-month pilot test to identify nodules which may be indicators of potential lung cancer on X-rays using deep learning technology.
The initiative is part of the LuCaDAlert (Lung Cancer CAD Alert) project which has developed algorithms that can detect lung cancer nodules in chest X-rays recorded in the Parc Taulí Diagnostic Imaging Service’s digital medical imaging systems.
The pilot test is designed to clinically validate the operation of the algorithms. It will consist of analysing all pleural plaques which are not reported by radiologists – since they are performed for other purposes – to identify potential lung nodules. In all cases where these nodules are detected by deep learning, the plaques will be analysed again by a team of four radiologists to confirm or rule out the diagnosis.