Blog

Improving Simultaneous PET/MR through Machine Learning

Here at the UCSF Center for Intelligent Imaging (ci2), a team of investigators led by Peder Larson, PhD and Thomas Hope, MD are currently working on improving simultaneous PET/MR systems using machine learning.

UCSF ci2 and DAIR Collaborate to Improve Detection of Clinically Significant Prostate Cancer from Prostate MRI

The UCSF Center for Intelligent Imaging (ci2) and the Duke Center for Artificial Intelligence in Radiology (DAIR) are collaborating to improve the detection of clinically significant prostate cancer from prostate MRI.

Meet Abhejit Rajagopal, PhD, UCSF Postdoctoral Scholar

It's National Postdoc Appreciation Week! Meet Abhejit Rajagopal, PhD, a UCSF postdoctoral scholar who works closely with PIs at the Center for Intelligent Imaging (ci2).

Lessons Learned from Real-World Federated Learning: Experience with COVID-19 Modeling at UCSF

Researchers at NVIDIA, one of the UCSF Center for Intelligent Imaging (ci2)'s key collaborators, worked with Mass General Brigham on an initiative called EXAM (EMR CXR AI Model) that brought together a large, diverse team of 20 hospitals from around the world to predict COVID-19 outcomes using...

An AI Algorithm Accurately Predicts Delayed Radiology Turnaround Times

The Big Data in Radiology (BDRAD) research team developed a machine learning model – aided by natural language processing (NLP) components - to predict delayed turnaround time during non-business hours and identify factors that contribute to this delay.

Second Annual Summer Symposium Highlights UCSF ci2 and RIDR Program Interns

This month, the UCSF Center for Intelligent Imaging (ci2) and the Department of Radiology and Biomedical Imaging hosted their Second Annual Summer Symposium highlighting the diverse and innovative research that is happening within the center and in the department.

Emily Xie, UCSF ci2 Intern, Shares Her Experiences

Each summer, the UCSF Center for Intelligent Imaging (ci2) welcomes interns from high school, undergraduate and graduate school, chosen based on their background, a graded rubric and overall readiness. Meet Emily Xie – an intern who is participating in the program for the second year.

Introducing "MEDomics" – a Novel Approach to Refine Predictions and Prognosis in Cancer Patients

Olivier Morin, PhD, UCSF ci2 member, leads the international MEDomics consortium, working to create a secure, dynamic, continuously learning and expandable infrastructure, designed to constantly capture multimodal electronic health information, including imaging.

Building a Pipeline of Interest and Training in AI and Medicine: ci2's Education Pillar

The Education Pillar within UCSF's Center for Intelligent Imaging (ci2) works with aspiring and future scientists and physicians to mentor them and fully develop their interest in AI technology in medicine.

An End-to-End Deep Learning Model Rapidly Stratifies Knees into MRI-based Morphological Phenotypes

A team from the UCSF ci2 set out to build an end-to-end deep learning model to rapidly stratify knees into MRI-based morphological phenotypes.