About


The EICF AI Image Extraction and De-Identification Core (AI2EC) provided large-scale imaging extraction and de-identification services to researchers throughout Emory School of Medicine. We provide a robust pipeline that excels in extracting and safely de-identifying large volumes of imaging data in diverse modalities including MRI, CT, XR, NM, US, PET, and US. AI2EC can also provide support for ongoing regular extractions for research projects, clinical trials, or Centers. To date, AI2EC has extracted over 10 million images from the Radiology Picture Archiving and Communications System (PACS) system contributing to high-profile projects such as Emory Breast Imaging Dataset (EMBED), the world’s largest breast imaging dataset. 

The AI2EC team of experts are here to help you achieve your goals. Please reach out to hari.trivedi@emory.edu with any questions.

Core Leadership

Hari Trivedi, MD

Director

hari.trivedi@emory.edu

Assistant Professor, Department of Radiology. Dr. Trivedi is a leader in applying AI to healthcare, having developed the large-scale image extraction and de-identification pipeline used by the core.

View Dr. Trivedi's Bio


Judy Gichoya, MD

Co-Director

judywawira@emory.edu

Associate Professor, Department of Radiology. An expert in AI infrastructure and global health informatics, Dr. Gichoya contributes her extensive experience in data extraction and annotation.

View Dr. Gichoya's Bio


Core Team

Aawez Mansuri, MS

Systems Software Engineer

aawez.mansuri@emory.edu

Mr. Mansuri is a Systems Software Engineer overseeing the continuous development and deployment of data extraction and de-identification pipelines, both in cloud environments and on local systems. He ensures their ongoing maintenance and evolution.