BMEII Imaging Science programs work to improve diagnostics and treatment effectiveness by developing state-of-the-art imaging acquisition and processing techniques.
Our imaging programs are focused on applications in neuroimaging, cancer & body imaging, cardiovascular/cardiac imaging and immunoimaging. The Clinical Trials Unit develops imaging endpoints for multicenter clinics and the Imaging Research Warehouse integrates imaging with electronic health records.
Employing cutting-edge imaging technology
to visualize the brain in unprecedented
details and through new filters.
Undertaking groundbreaking studies in the
use of imaging for the early detection and
treatment assessment of cancer
Developing and using noninvasive imaging methods
that allow the early detection, prevention, and treatment
of cardiovascular disease
Clinical Trials Unit
A modern hybrid between a contract research
organization and an imaging core
Visualizing the immune system with a
clinical approach to image immune response
using novel innovative probes
Imaging Research Warehouse
A massive image database, developed by
BMEII, is the first of its kind in New York City
Led by Robert Hirten, MD and Zahi Fayad, PhD, the study draws upon the collaborative efforts of the Mount Sinai COVID Informatics Center (MSCIC) and is open to all employees in the health system. It uses a unique phone App to administer questions and collect data from...
Technology may lead to rapid diagnosis based on CT scans and patient data Mount Sinai researchers are the first in the country to use artificial intelligence (AI) combined with imaging, and clinical data to analyze patients with coronavirus disease (COVID-19). They...
Center aims to create state-of-the-art medical technology to transform patient care The Mount Sinai Health System announced the creation of the Biomedical Engineering and Imaging Institute (BMEII), the first of its kind in New York City, and one of a few in the world....
Relation between resting amygdalar activity and cardiovascular events: a longitudinal and cohort study
Tawakol A, Ishai A, Takx RA, Figueroa AL, Ali A, Kaiser Y, Truong QA, Solomon CJ, Calcagno C, Mani V, Tang CY, Mulder WJ, Murrough JW, Hoffmann U, Nahrendorf M, Shin LM, Fayad ZA, Pitman RK 2017 Jan 12 · Lancet
Quantification of hepatocellular carcinoma heterogeneity with multiparametric magnetic resonance imaging
Hectors SJ, Wagner M, Bane O, Besa C, Lewis S, Remark R, Chen N, Fiel MI, Zhu H, Gnjatic S, Merad M, Hoshida Y, Taouli B 2017 May 26 · Sci Rep