Artificial Intelligence in Imaging
Artificial Intelligence (AI) opens new opportunities for exciting multidisciplinary research, combining the medical and engineering fields for improved diagnosis and treatment of a broad range of health conditions.
Artifical Intelligence is…
A BRIDGE: Across fields, from genotype to phenotype, from pathology to radiology
An INTEGRATOR: Providing a common language across dimensions and domains
A FACILITATOR: To incorporate context from the biological to the clinical, from physical modeling to prediction and exploration
And A TOOL: To bridge the gap between research and the clinic
AI in Imaging Leadership
Hayit Greenspan, PhD is the Director of Artificial Intelligence in Imaging at the BioMedical Engineering and Imaging Institute (BMEII) at the Icahn School of Medicine at Mount Sinai. Dr. Greenspan is also co-director of the Artificial Intelligence and Emerging Technologies in Medicine (AIET) PhD concentration at the Graduate School of Biomedical Sciences, a new program accepting applications for enrollment in Fall 2022.
Mount Sinai Researchers Studying Psychological Effects of Covid-19 Pandemic on Front-Line Health Care Workers
On October 11, CBS New York covered Mount Sinai's innovative Warrior Watch study, led by Dr. Zahi Fayad of BMEII and Dr. Robert Hirten, a gastroenterologist. Click here to watch.
Click here to watch the feature video on Dr. Xiang Xu's Distinguished Scholar Award for her innovative work in MR imaging.
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).