Pilot test to identify potential lung cancer nodules on x-rays using 'deep learning' technologyPilot test to identify potential lung cancer nodules on x-rays using 'deep learning' technology http://www.tauli.cat/institut/wp-content/uploads/2020/03/2020_03_02_projecte-1024x576.jpg 1024 576 marmenteros marmenteros http://1.gravatar.com/avatar/7839cc9b475d428560d509499f1c4407?s=96&d=mm&r=g
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The project LuCaDAlert (Lung Cancer CAD Alert) is a collaboration between researchers at theI3PT and the technology center Eurecat, in which algorithms have been developed capable of detecting lung cancer nodules on all chest X-rays that are registered in the PACS system of the RAIM.
70% of lung cancer cases are detected in advanced stages of the disease, contributing to an increase in the associated mortality rate. In the European Union, this type of cancer is the leading cause of death in men and the third in women.
LuCaDAlert was one of the winners in the Second Parc Taulí Quality Improvement Initiative and Contest. This is a project initially promoted by Dr Eduard Monsó, head of the Pulmonology Service of the Parc Taulí and chief researcher of I3PT, and Carles Rúbies, a former CIMD employee and current CIO at the Hospital de Granollers. The project is currently also led by the radiologist Xavier Gallardo and the head of the CIMD, Josep Fernàndez.
The pilot test was launched last February to clinically validate the operation of the algorithms and will last for 3 months.