Develop and validate AI in existing patient processes for skin cancer

Purpose and goal

Malignant melanoma and other skin cancers are the fastest growing of all cancers. For earlier detection and more efficient care, there is a need for new tools. The aim of the project is to see if AI can contribute to a more efficient process for diagnosis. The goal of the project is for Gnosco, together with Skåne University Hospital and Chalmers Industriteknik, to develop algorithms that handle diagnoses of several different types of skin cancer. The algorithms will then be implemented in a teledermatoscopic process and the digital platform Dermicus and validated in clinical activities.

Expected results and effects

The result of the project is expected to be a deeper insight into how algorithms can contribute to the patient process and assist healthcare professionals in their assessments. But also in the long run, contribute to faster and safer diagnosis of skin cancer. This can lead to major cost savings at the societal level, reduced suffering and anxiety, as well as unnecessary surgery for patients.

Planned approach and implementation

The project consists of the following parts: Definition and preparation phase, data management, development of algorithms, implementation and validation. Gnosco is the coordinating party and provides the digital platform Dermicus as well as model development. Chalmers Industriteknik will primarily contribute in the phase related to data management and development of AI-models. Skånes Universitetssjukhus contributes in defining requirements, and in the validation phase. Även Karolinska University Hospital may be part of the project´s implementation.