Artificial Intelligence in Imaging
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
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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.
Click here to watch the feature video on Dr. Xiang Xu's Distinguished Scholar Award for her innovative work in MR imaging.
Icahn School of Medicine at Mount Sinai Unveils New PhD Concentration in Artificial Intelligence and Emerging Technologies in Medicine
Preparing future biomedical researchers with the necessary skills to tackle the field’s escalating complexity New York, NY (April 19, 2021) The Graduate School of Biomedical Sciences at the Icahn School of Medicine at Mount Sinai will offer a new PhD concentration in...
Click here to watch how BMEII researchers are learning about the debilitating long-term effects of Covid for some patients.
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).