Valentina Pedoia, PhD Awarded an NIH Grant to Study Fast Knee MRI with Deep Learning

By Valentina Pedoia, PhD on April 09, 2021
The National Institutes of Health (NIH) awarded a five-year R01 grant to Valentina Pedoia, PhD, principal investigator and imaging scientist at the UCSF Center for Intelligent Imaging (Ci2) for “Ultra-Fast Knee MRI with Deep Learning” to improve the study of joint degeneration, injury and...

A Novel Radiology-Specific Word Embedding to Help Radiological AI Researchers Conduct NLP Projects

By Jae Sohn, MD, MS on March 17, 2021
A team of investigators at the UCSF Center for Intelligent Imaging (Ci2) examined the potential of Radiopaedia to serve as a general radiology corpus to produce radiology specific word embeddings that could be used to enhance performance on an natural language processing (NLP) task on radiological...

Building and Evaluating an AI System for Brain MR Imaging

By Andreas Rauschecker, MD, PhD on March 11, 2021
Up until recently, AI had not been used to create differential diagnoses at brain MRI. Andreas Rauschecker, MD, PhD’s recent research focuses on identifying lesions, characterizing those lesions, and building a differential diagnosis from this information.