UCL Global


Development of a machine learning computed algorithm to help the early detection of lung cancer

Machine learning for lung cancer screening. Part of the Cities partnership Programme.

15 September 2022

The main aim of our research project is to create the ground for the development of a platform of deep learning and artificial intelligence in thoracic imaging, specifically related to lung cancer screening. 

We want to feed a computer with all the clinical data and imaging features to improve nodule detection and characterisation. 
The main steps to achieve this goal are: i) you have to find all the nodules, determine their morphology, size and density  accurately; ii) this comes in combination with all the clinical parameters, including age, sex, environment [gas, minerals or chemicals exposure], history of previous cancers, family history of cancer and many other parameters); iii) then you can simplify the rules and know what to do next on the screening protocols. 

We want to do this ambitious project with a well-recognised University in Rome (Sapienza University in Rome is one of the top Universities in Europe and in particular the hospital linked to the University (Policlinico Umberto I/St. Andrea Hospital) is one of the largest in Europe with about 1800 beds).



UCL leads