Mount Sinai Imaging Research Warehouse (MS-IRW)
The Mount Sinai Health System has announced the creation of the Imaging Research Warehouse (IRW). This massive image database, developed by the Mount Sinai BioMedical Engineering and Imaging Institute (BMEII), is the first of its kind in New York City.
The IRW integrates clinical imaging with electronic health records, and as it expands it will give researchers new access to information about more than 1 million Mount Sinai patients. The IRW will revolutionize clinical care and translational research to ultimately improve human health. “This imaging warehouse is uncharted territory for our scientists, and we are excited to give our imaginations free rein to explore imaging for the first time and think without boundaries,” said Zahi Fayad, PhD, Director, BMEII, Professor, Medical Imaging and Bioengineering, Radiology, and Medicine (Cardiology), Icahn School of Medicine at Mount Sinai. “By having this imaging data available, we can find new patterns of disease and new ways to diagnose and develop new treatments.”
The images along with the corresponding health records are free of patient identification. Mount Sinai investigators from all areas of medicine can delve into any group of images from anonymous Mount Sinai patients with specific diseases or conditions to explore patterns and traits. By comparing thousands of similar images, they can find new features among those patient groups that they didn’t know existed in hopes of identifying potential similarities in genetics or blood markers, that could lead to diagnostic techniques and cures.
Creating the IRW will bring significant advances to many diverse aspects of medicine, including mammography, prostate cancer, neuro-degenerative diseases, bowel disease, spine injuries, and genomics. The IRW also has the potential to transform the field of radiology, and streamline the way radiologists read and collect data in the future. Feeding this large data set into machine learning algorithms, for example, will allow radiologists to use specialized software to help evaluate images for known abnormalities. In turn, this may allow for new and more accurate imaging techniques, such as shorter MRIs and CT scans, which will optimize imaging, streamline procedures, and elevate the patient experience.
“The Imaging Research Warehouse is a unique resource that will provide large volumes of de-identified images to the research community” said David Mendelson, MD, Vice Chair, Radiology, Mount Sinai Health System; Professor, Radiology, Icahn School of Medicine at Mount Sinai. “This model fills a gap in the new world of healthcare ‘big data.’ The data contained within patients’ radiological images is hard to make use of, and this warehouse is the solution to expose this information for analysis.”
The IRW is supported by a National Institute of Health pilot program.
Access to the IRW can be requested here
Faculty - Artificial Intelligence (AI) and Translation to Medicine
Faculty - Biomedical Engineering and Regenerative Medicine
The BioMedical Engineering and Imaging Institute (BMEII) at the Icahn School of Medicine at Mount Sinai (ISMMS), in partnership with Rensselaer Polytechnic Institute, is seeking mid to senior-level faculty members to spearhead a novel research initiative in the engineering of reparative and regenerative Medicine.
Faculty - Neuroengineering
Biomedical Software Developer
The BioMedical Engineering and Imaging Institute at the Icahn School of Medicine at Mount Sinai is seeking a Biomedical Software Developer.
News
[VIDEO] Aspen Ideas Festival: Dr. Fuchs and Dr. Fayad on Powering Medicine with Technology and Data Science
Zahi A. Fayad, PhD, Director of Biomedical Engineering and Imaging Institute sits down with Thomas Fuchs, DrSc, Dean of Artificial Intelligence and Human Health to discuss powering medicine with technology and data science. Click the image to watch the video.
[VIDEO] Dr. Zahi Fayad: Powering Medicine with Technology and Data Science
BMEII Director Zahi Fayad discusses the role of data science in medicine at the 2022 Aspen Ideas Festival. Click the image to watch the video.
Latest Publications
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
Xueyan Mei, Hao-Chih Lee, […] Yang Yang
Nat Med (2020).
Probing myeloid cell dynamics in ischaemic heart disease by nanotracer hot-spot imaging
Max L. Senders, Anu E. Meerwaldt, ... Willem J. M. Mulder
Nat. Nanotechnol. 15, 398–405 (2020).