McGill University Health Centre

Safe and effective reirradiation depends on accurate cumulative dose assessment and consistent reporting of prior treatments. Current practices for dose accumulation vary widely across Canadian institutions, leading to inconsistencies in cumulative organ-at-r...

Therapy Physics

We previously developed an automatic catheter reconstruction model (CorneliUS) that achieves approximately 93% needle detection efficiency in post‑implant 3D ultrasound images for prostate HDR brachytherapy. The remaining undetected (AI‑missed) needles are ty...

Head and neck cancer (HNC) patients undergoing radiotherapy often necessitate replanning due to anatomical changes. However, replanning is resource-intensive and typically decided on short notice, causing workflow disruptions and treatment delays. Therefore,...

Developing robust AI models for radiotherapy requires large, diverse datasets, which are difficult to share between institutions due to patient confidentiality, IT restrictions, and limited local machine learning expertise. Federated learning offers a solutio...

Professional