Dr. Houda Bahig is excited by the first results of the project.
Predicting these effects early would allow treatments to be adjusted in real time throughout the process. To achieve this feat, we must create an algorithm – the brain of artificial intelligence. This task falls to Samuel Kadoury.
In his field, data is the raw material. The engineer therefore had access to the files of a thousand patients, patients treated at the CHUM over the last five to ten years.
He juggled with hundreds of files, but also with medical imaging. We are talking in particular about tomography – the famous CT-Scan which doctors use to target the area to be treated, the structures to be preserved and the dose of radiotherapy to be given.
The engineer also worked with a rather unusual visual source. Dr. Houda Bahig explains: When the patient receives their treatment, they lie on their back. Images are then taken with cone beam volume computed tomography. Essentially, they are poor quality three-dimensional images. They serve as a reference. Taken at each visit, they are used to position the patient's body as on the first day of treatment.