Multimodal Deep Learning for Holistic Clinical Decision and Reasoning Support
MCML Authors
Matthias Keicher
Dr.
Abstract
Matthias Keicher
Dr.
Abstract
In clinical decision-making, medical doctors rely not only on a multitude of information about a patient, including lab results and imaging data, but also on their extensive knowledge gained through formal education and experience with previously treated patients. This thesis explores clinical decision support systems based on deep learning that integrate multimodal knowledge about a patient with formal and exemplar clinical knowledge while providing insight into their reasoning.
BibTeXKey: Kei24