The tool will facilitate a patient-specific assessment and treatment plan via radiological examinations, invasive procedures and to the multi-disciplinary team (MDT) meeting where treatment is planned. The patient's CT and PET-CT will be analyzed with artificial intelligence (machine learning) and traditional methods for finding normal anatomy and pathology (tumor). 3D models can be produced to optimize patient information, assessment and treatment strategy. The patient's personal model will be modified when new digital biopsy results and image examinations are included, and will then be a complete tool with integrated data for the MDT meeting.
Decision support in lung cancer diagnostics
The project's goal is to develop, integrate and implement a new tool for image analysis and decision support in patient care for lung cancer.
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Project duration
2020 - 2022
