Honored to have the opportunity to give Grand Rounds where it all began, at Radiology of USC. Great to see familiar faces and new ones!

Luz, thank you so much for your thoughtful questions and for being there! Sorry we ran out of time but more than happy to chat anytime.. appreciate this! And yes I'm always learning by doing and fascinated at the potential AND the complexity.. Population and Public Health Sciences at USC UCLA MII

📢 MD or PhD trainees: Being part of a journal editorial process can rewarding, enriching, and a networking opportunity. Apply to become part of the Radiology: Artificial Intelligence Trainee Editorial Board (TEB). pubs.rsna.org/page/ai/blog/2… Feel free to DM me if you have questions. ⏲️ May 2.

Joe Friedman (Joseph Friedman, MD, PhD, MPH) will be defending his doctoral thesis entitled "Integrating Data Science and Ethnography for Critically-Applied, Rapid Surveillance of Emerging Health Inequalities" on May 25. Best of luck Joe!!! UCLA Center for Social Medicine UCLA MII

Officially open! Calling organizations with AI, ML or other data science initiatives: Submit your entry by June 30 for a chance to win $100,000. The Hearst Health Prize is a partnership between the UCLA Health Center for SMART Health and Hearst Health hearst.com/-/call-for-sub…

Hot off the press! UCLA Radiology

NIH launches Bridge2AI program to expand the use of artificial intelligence in biomedical and behavioral research nih.gov/news-events/ne…

"UCLA takes leading role in NIH Bridge2AI initiative to generate ‘computable knowledge’ that propels biomedical research forward" #UCLAMII Read more: uclahealth.org/news/Bridge2AI…

Happy to share #UCLAMII Tianran Zhang & Professor Alex Bui collaboration with 🌴Muhao Chen🌴 at USC recent published paper in JBI titled "AdaDiag: Adversarial Domain Adaptation of Diagnostic Prediction with Clinical Event Sequences" Check it out! sciencedirect.com/science/articl…

"Finalists Named for the 2022 Hearst Health Prize in Partnership with the UCLA Center for SMART Health" Read more: smarthealth.ucla.edu/news/finalists…

New publication in the Journal of #DigitalImaging by researchers from @RadiologyUCLA, David Geffen School of Medicine at UCLA, UCLA CS Department & UCLA MII: "Improving the Quantitative Analysis of Breast Microcalcifications: A Multiscale Approach." Anne Hoyt William Hsu bit.ly/3F3po2f

We present arguments for a cognitive-inspired framework for medical natural language understanding. Includes the need for symbol grounding, semantic activation, semantic composition, and hierarchical predictive coding. Read more: journals.plos.org/plosone/articl…

Researchers from @RadiologyUCLA, David Geffen School of Medicine at UCLA, UCLA CS Department & UCLA MII & trained & validated a regression convolutional network that would identify #mammograms that constitute microcalcification. bit.ly/3F3po2f

🗣️ PhD candidate Yannan Lin UCLA MII UCLA Bioengineering was interviewed by RSNA re: #lungcancer screening adherence and the importance of identifying and overcoming barriers to adherence at the patient, physician, and system levels. David Geffen School of Medicine at UCLA @uclajccc rsna.org/news/2023/may/…

No better way to end the academic year with the pomp of graduation. Congrats UCLA Samueli Engineering UCLA Bioengineering UCLA MII #PhD and #MS grads!

Virtual presentation AIM AHEAD – Artificial Intelligence Technology and Addressing Chronic Kidney Disease on Thursday, July 20th at 9:00 AM (PT). UCLA CERP

In our newly published work, we demonstrated the benefit of tailoring self-supervised learning to the downstream task of lung adenocarcinoma histologic subtype classification. sciencedirect.com/science/articl… UCLA MII William Hsu #digitalpathology #lungcancer #machinelearning

Finishing up strong at the American College of Radiology #ACRQSI2023 conference with William Hsu UCLA Radiology moderating a session on #AI monitoring and deployment

Medical Informatics Home Area is sponsoring a talk titled “Finding Consensus In A Sea of Standards” by @monimunozto Nov 6th at 12pm, Boyer 159

The UCLA MII training program funded by NIBIB T32 is preparing the next generation of engineers to harness the power of imaging with clinical data to evolve our understanding of disease and tailor patient care. Learn more at #BMES2024 Thu Oct 24, 3:45pm in Rm 345