This collaborative research project is comprised of MIDRC investigators from the University of Chicago and Moffitt Cancer Center who are investigating and developing open AI/ML algorithms for explainability and visualization of disease, as well as exploring lessons learned from collaborations amongst the disciplines of radiology, medical imaging physics and computer science. The machine intelligence algorithms being developed by these investigators will ultimately contribute to the diagnosis, prognosis, response assessment and clinical decision making on thoracic radiographs and CTs for pneumonia and other diseases in biomedicine. CRP 10-authored articles have been published in Medical Physics and the Journal of Medical Imaging.

Current plans include

• Develop machine intelligence for assessing image-based changes over time and assisting in clinical decision making of prognosis and response assessment of diseases on MRI and ultrasound images, especially of the brain and cardiac systems.

• Investigate and provide open algorithms for explainability/visualization of AI on multi-modalities including CXR, CT, MRI, and ultrasound images, especially of the brain and cardiac systems.

• Rigorously evaluate and rapidly translate these findings to clinical practice to enable the urgent goals of MIDRC.