The Emory Imaging Informatics Fellowship offers a one-year hybrid program in which radiologists can further develop their skills in imaging informatics while also advancing in subspecialty clinical training. Fellows participate in an ongoing curriculum covering technical, research, leadership, and management topics. Each fellow engages in year-long academic projects, chooses areas of interest for elective study, and is embedded in operational technology-related projects.
The program's "hybrid" format offers a 50/50 split between training in imaging informatics and a clinical radiology subspecialty. It is open exclusively to graduates of ACGME-accredited U.S. or Canadian radiology residencies who are eligible for Georgia medical licensure.
Application Process
Candidates must secure acceptance from both the Imaging Informatics Fellowship program and their chosen clinical fellowship program.
The Application: Email the following to the Imaging Informatics Fellowship Program Director:
- CV
- Personal statement
- Letters of recommendation
Coordinate Application: Simultaneously apply to the clinical radiology fellowship program of choice
Interview: Complete interviews for both the Imaging Informatics Fellowship Program and the clinical radiology fellowship program of choice.
Fellowship Expectations
The Imaging Informatics Fellowship is designed as a hybrid learning experience, blending expert mentorship with independent, self-directed exploration. We believe the most impactful informatics leaders are those who pursue their specific passions within the field.
- Diverse Faculty Expertise: Fellows will collaborate closely with an extensive Imaging Informatics faculty whose expertise spans the entire spectrum of the field. This includes mentorship from leaders in
- Clinical Operations: Optimizing enterprise-level PACS, RIS, and reporting workflows.
- Cutting-Edge Research: Developing and validating novel AI algorithms and radiomics.
- Strategic Governance: Navigating cybersecurity, data privacy, and departmental leadership.
- Self-Directed Learning: We provide the resources and professional autonomy for you to "deep dive" into your specific areas of interest. Whether your focus is on Large Language Models (LLMs), business analytics, or infrastructure design, the curriculum is flexible enough to accommodate your career trajectory.
- Guided Exploration: While you are encouraged to lead independent initiatives, you are never siloed. You will have regular access to faculty to ensure your projects move from the "idea" phase to practical, real-world implementation.
- Balanced Integration: Your schedule is purposefully divided to ensure you remain a high-level clinical subspecialist while gaining the technical fluency required to bridge the gap between medicine and technology.
Time and Effort: Effort is split equally between informatics projects and clinical duties.
Call Responsibilities: Fellows fulfill 100% of the standard clinical call requirements, commensurate with peer fellows in their clinical division.
