Cancer: How AI architects are constructing the future of radiotherapy
A quantum leap in cancer treatment? Artificial intelligence (AI) could optimize the planning process for radiation therapy and reduce waiting times for patients from weeks to just hours. Read how concept designer Fernando Vega and team aim to achieve this goal – in part seven of our #Futureshaper series.
Whether waiting for an appointment with a specialist physician, or for medication that you've ordered, or to finally hear your name called in the waiting room: long waits for medical care – or anything, really – are annoying. In some cases, though, waiting can prove life-threatening. This is the case when cancer patients have to wait to begin radiation therapy that they urgently need.

AI is a tool. If we use it in the right ways, it has the potential to make life easier for all of us. Yet, the changes that it unleashes are rapid and far-reaching. This puts a huge responsibility on us as a medical technology company.
Fernando Vega
Head of Software & Concept Definition Cancer Therapy Imaging
Siemens Healthineers
Step 1: The patient consultation
Step 2: Imaging for radiation therapy treatment planning
Step 3: Preparing the radiation treatment plan
Courtesy of Radiologische Allianz, Hamburg, Germany
Contouring – a complex step
Stuck in a holding position
Automated dose calculation

Step 4: The radiation treatment
Coming soon: less waiting – thanks to AI?
High-precision therapy for patients
A big task for a big team
- Sources
https://www.medizinspektrum.de/krankenhaus/was-macht-ein-radioonkologe/
https://www.iaea.org/newscenter/multimedia/videos/what-is-a-linac
- Disclaimer
- The presented information is based on research results that are not commercially available. Future realization and availability cannot be guaranteed.