An AI cognitive assistant is developed that will fuse information from multiple data sources, providing melanoma risk estimation both on the patient level as well as per-lesion.
The AI cognitive assistant is hosted on the iToBoS private cloud, combining the information provided by AI-based models developed by the partners of the consortium that focus on different data modalities (clinical, genomics, images), implementing a holistic AI-based risk score system that offers explainable results.
The iToBoS project is developing an AI diagnostic platform to aid in the early diagnosis of melanoma. The platform includes an AI-powered total body scanner and a Computer Aided Diagnostics (CAD) tool, which integrates multiple data sources including medical records, genomic data, and in vivo imaging. The project’s objectives include the following:
- Achieving earlier, patient-tailored diagnoses of melanoma.
- The development and validation of an AI cognitive assistant tool to empower healthcare practitioners and offer risk assessments for every mole.
- The integration of all available information about each patient to personalise the prognosis.
- The provision of methods for visualising, explaining, and interpreting AI models in an effort to overcome the “black box” challenge.