Quantitative Imaging in Lung Cancer, Pulmonary Fibrosis, and Emphysema
We apply quantitative imaging, radiomics, and modern machine learning techniques to study several cardiothoracic imaging topics including lung cancer, interstitial lung disease (including interstitial lung abnormality), and emphysema. Additionally, we have completed a randomized controlled trial on 'rapid rollover' technique to reduce pneumothorax following lung biopsy. We have multiple collaborative computer vision and clinical research projects on screening, diagnostic, and intervention around lung cancer imaging.
Radiological Natural Language Processing
We are part of the UCSF Center for Intelligent Imaging. For Natural Language Processing, we study radiological reporting, patient/provider communication, and text based data in radiology leveraging modern natural language processing techniques including but not limited to developing and translating large language model, large vision language model, and radiological report optimization. This is in strong collaboration with UC Berkeley and industry scientists.
Mid-field Lung and Cardiac MRI
We conduct clinical and translational research on novel imaging modalities including the 0.55T Lung MRI and other emerging modalities in collaboration with imaging scientists and industry collaborators. We have scanned nearly 100 patients on the novel 0.55T lung MRI system with protocols and techniques optimized in-house in collaboration with imaging scientists. We have also developed a rapid combined cardiac, pulmonary, and ventilation/perfusion imaging for various pulmonary pathologies.
Patients

Cardiothoracic Imaging and Natural Language Processing Laboratory

Sohn Lab is a multidisciplinary team of cardiothoracic radiologists, clinicians, data scientists, and imaging scientists. This team leverages data science and novel imaging modalities to conduct clinical & translational cardiothoracic imaging research, modern radiological data science research including those utilizing large vision language model, and translation of novel imaging modalities such as 0.55T MRI for cardiothoracic imaging.