Mentor Areas
Radiology, Artificial Intelligence, Radiomics, Gynecology, Gynecologic Oncology, Surgery.
Description:
We are seeking undergraduates who wish to learn more about radiology, artificial intelligence, surgery and/or gynecology oncology to assist with a novel research project combining artificial intelligence with clinical medicine. Research assistants will help to review CT scan images and segment images to train an AI algorithm to predict success of ovarian cancer surgery. Researchers will also have an opportunity to observe ovarian cancer surgery and work with Gynecologic Oncologists and Radiologists to improve their ability to read actual patient CT scans. We anticipate participation in the project to last one year with a commitment of 2-3 hours per week on your own schedule. Participants will be included on all publications originating from this work, including abstract presentations and peer-reviewed publications.
Preferred Qualifications
Researchers will need access to a PC computer. Otherwise, no specific qualifications are required.
Details:
Preferred Student Year
First-year, Second-Year, Junior, Senior
Project Academic Year
2023–2024
Volunteer
Yes
Paid
No
Yes indicates that faculty are open to paying students they engage in their research, regardless of their work-study eligibility.Work Study
Yes
Yes indicates that faculty are open to hiring work-study-eligible students.