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Trustworthy AI-Based Medical Treatment 


AI has been regarded as one of the most promising technologies for diagnosis and treatment of cancer. For example, thanks to deep learning, we can generate real-time clear images of tumours and aid clinicians in their decision-making process on the best treatment plan. However, there is still some reluctance when it comes to deploying AI-based therapy in real-world treatments, not least because of the various ethical and legal questions that arise in this context.


This project aims to create a better understanding of ethical and legal considerations when AI technology is used for personalized treatment planning, in order to promote the uptake of AI-based solutions for cancer treatment.

Methods and results

Existing methods for advanced 3D deep learning motion models based on the stream of images coming from the MR during the radiation and real-time adaptation strategies will be examined in order to map the current ethical and legal problems and then to recommend alternative ways for the development of such methods based on the standard of trustworthy AI.


WASP-HS perspective: This project aims at providing with insights from within a specific technological domain (data-driven diagnosis and treatment of cancer) in order to examine how and whether legislation and the ethics behind specific legal interpretations can effectively achieve the goals they claim as desired.

DDLS perspective: This project will add to the existing research on data-driven cancer diagnosis and treatment by recommending a sustainable model for such design and development.


Start: September 2023
End: December 2024

Project type

Seed-Money between WASP-HS and DDLS


Universities and institutes

Uppsala University

Project members

Andreas Kotsios

Associate Professor

Uppsala University

Robin Strand


Uppsala University

Mikael Laaksoharju

Associate Professor

Uppsala University