Applying artificial intelligence in medical imaging
This project can also be virtual.
The Center for Interventional Oncology (CIO) (https://www.cc.nih.gov/centerio/index.html) offers new and expanded opportunities to investigate cancer therapies that use imaging technology to diagnose and treat localized cancers in ways that are precisely targeted and minimally- or non-invasive. The Center for Interventional Oncology (CIO), under the leadership of Dr. Bradford Wood, has pioneered various technologies and procedures using mini-GPS for the human body to combine cutting-edge magnetic resonance imaging (MRI), positron emission tomography (PET), computed tomography (CT), cone beam CT and ultrasound to navigate a diagnostic and/or therapeutic device through the body. Students working at the CIO will gain experience in a translational research environment within the NIH Clinical Center (CC). The CIO is looking for motivated students for the following project:
Artificial Intelligence in Medical Imaging
Artificial Intelligence project tailored to the student’s abilities and experience: Assist in development of tools for deep learning regarding digital pathology, genomics, and MRI, CT or ultrasound imaging data, in order to better diagnose, stage, or characterize tumors or predict response to specific drug or device approaches, as part of modeling drug delivery.