The Program Director and faculty at Ohio State believe it is imperative that you receive training in Informatics and Artificial/Augmented Intelligence, and its imaging applications, so that you are prepared to manage the incorporation of advanced technologies into the field of Radiology. Trainees in our residency program have several opportunities to become knowledgeable in this evolving field:

Imaging Informatics elective

Our residents can schedule an elective experience and/or mini-fellowship in Informatics and Artificial Intelligence, to help the resident understand the current and future state of advanced technologies in Radiology.

Research projects

We believe that research in the field of AI as it relates to Radiology is critical to the future of our specialty, and we strongly encourage residents to become involved in AI research with our Imaging Informatics team. See the articles below for examples of the type of cutting-edge research projects with which our residents can be involved:

Automated Brain Metastases Detection Framework for T1-Weighted Contrast-Enhanced 3D MRI
Engin Dikici, John L. Ryu, Mutlu Demirer, Matthew Bigelow, Richard D. White, Wayne Slone, Barbaros Selnur Erdal, Luciano M. Prevedello

Nationwide Trends in Use of Catheter-Directed Therapy for Treatment of Pulmonary Embolism in Medicare Beneficiaries from 2004 to 2016.
Gayou EL, Makary MS, Hughes DR, Hemingway J, Elliott ED, Spain JW, Prevedello LM.
J Vasc Interv Radiol. 2019

Streamlining Communications and Enabling Point-of-care Education in Radiology Through a Mobile Application Solution.
Makary MS, Hartwell C, Egbert NK, Prevedello LM. Curr Probl Diagn Radiol. 2019

Diagnostic Accuracy of Digital Breast Tomosynthesis in the Evaluation of Palpable Breast Abnormalities.
Hawley JR, Kang-Chapman JK, Bonnet SE, Kerger AL, Taylor CR, Erdal BS. Acad Radiol. 2018

Radiology and Enterprise Medical Imaging Extensions (REMIX).
Erdal BS, Prevedello LM, Qian S, Demirer M, Little K, Ryu J, O'Donnell T, White RD.
J Digit Imaging. 2018

Automated Critical Test Findings Identification and Online Notification System Using Artificial Intelligence in Imaging.
Prevedello LM, Erdal BS, Ryu JL, Little KJ, Demirer M, Qian S, White RD.
Radiology. 2017