UCLA MII

The @uclamii training program funded by @NIBIBgov 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

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

Finishing up strong at the @RadiologyACR #ACRQSI2023 conference with @uclawillhsu @RadiologyUcla moderating a session on #AI monitoring and deployment

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… @uclamii @uclawillhsu #digitalpathology #lungcancer #machinelearning

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

No better way to end the academic year with the pomp of graduation. Congrats @UCLAengineering @BioEngUCLA @uclamii #PhD and #MS grads!

🗣️ PhD candidate Yannan Lin @uclamii @BioEngUCLA 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. @dgsomucla @uclajccc rsna.org/news/2023/may/…

Researchers from @RadiologyUCLA, @dgsomucla, @CS_UCLA & @uclamii & trained & validated a regression convolutional network that would identify #mammograms that constitute microcalcification. 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…

New publication in the Journal of #DigitalImaging by researchers from @RadiologyUCLA, @dgsomucla, @CS_UCLA & @uclamii: "Improving the Quantitative Analysis of Breast Microcalcifications: A Multiscale Approach." @justAnneMD @uclawillhsu bit.ly/3F3po2f

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

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…

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

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

Hot off the press! @RadiologyUcla

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 @UCLAHealth Center for SMART Health and @HearstHealth hearst.com/-/call-for-sub…

Joe Friedman (@JosephRFriedman) 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!!! @UCLASocialMed @uclamii

📢 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_AI Trainee Editorial Board (TEB). pubs.rsna.org/page/ai/blog/2… Feel free to DM me if you have questions. ⏲️ May 2.

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.. @uscpphs @uclamii

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