Brenda Miao
@bmeow19
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Clinical language modeling @ucsf Butte Lab || 🌲
Joined February 2016
Excited to be at #AMIA2024 in SF this week, giving two talks (both today!): ➡️ Evaluating Large Language Models for Drafting ED Discharge Summaries ➡️ Utilizing GPT-4 to determine reasons for missed follow-up colonoscopy following abnormal non-invasive colorectal cancer screening
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UCSF study-- What would happen if ChatGPT were a hospital ER employee?
kron4.com
(KRON) — Would you trust artificial intelligence with your visit to the emergency room? Researchers at the University of California, San Francisco, answered that question on Tuesday with a newly-pu…
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#AI is helpful in an ER setting but shouldn't be blindly trusted, UCSF’s Dr. @cykwilliams tells @kron4news. It can help answer exam questions & draft notes—"but it’s not currently designed for situations that call for multiple considerations," he explains. https://t.co/plGZu3nQEr
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Thrilled to announce our latest paper 'Evaluating the use of large language models to provide clinical recommendations in the Emergency Department' published today in Nature Communications! https://t.co/1MmGIoD1t6
nature.com
Nature Communications - The emergence of large language models has the potential to transform healthcare. Here, the authors show that, when providing clinical recommendations, these models perform...
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Grateful for the opportunity provided by the NAIRR Pilot program! I hope it becomes a permanent program to democratize access to computing resources. Extending thanks to @bmeow19 for helping all through the ideation and writing, and Oksana for helping shape it even further!
WOW! @MadhumitaSushil wins another National Artificial Intelligence Research Resource (NAIRR) pilot award, now bringing @UCSF total to 5 and the @UofCalifornia total to 16! BRAVO! https://t.co/tn8k3KLgIT
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WOW! @MadhumitaSushil wins another National Artificial Intelligence Research Resource (NAIRR) pilot award, now bringing @UCSF total to 5 and the @UofCalifornia total to 16! BRAVO! https://t.co/tn8k3KLgIT
35 teams were awarded @NSF @WhiteHouse Natl AI Research Resource NAIRR pilot projects, for access to @DOEScience & NSF advanced computing systems! AMAZING to see three awarded to @UofCalifornia, and TWO at @UCSF including @MadhumitaSushil! CONGRATS!
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Congrats to @mariebinvignat @bmeow19 @msirota84
@lindseycriswell @UCSFRheum @UCSF_BCHSI and team on our new publication in @JCI_insight on single-cell RNA-seq analysis in rheumatoid arthritis! https://t.co/I4iP7RzuCA
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And it's out! Congratulations @madhumitasushil and team on our new publication in Journal @AMIAinformatics on comparing multiple LLMs on zero-shot inference and task-specific supervised classification of @UCSF breast cancer pathology reports, including UCSF-BERT! "On tasks where
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The 200 deidentified oncology progress notes associated with our paper (@madhumitasushil @TravisZack2 @bmeow19 et al @NEJM_AI
https://t.co/y3cStfa219) are available in PhysioNet! #opendata
ai.nejm.org
Both medical care and observational studies in oncology require a thorough understanding of a patient’s disease progression and treatment history, often elaborately documented within clinical notes...
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If you’re currently having trouble accessing ChatGPT, Claude, or other platforms… you know where to go. https://t.co/Uq2XrTpjTO systems are alive and well.
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Come by poster 432 to talk to @ardademirci14 about his work with @TravisZack2 applying large language models to identifying discrepancies in assigning performance status! #ai #asco24
@UCSF_BCHSI @UCSFCancer @UCJointCPH
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I recently had the privilege of presenting some words at the 2024 Graduation Commencement of the @McWilliamsSBMI (thanks for the invite, Dean @JiajieZhang100)! Here is the speech I delivered, if anyone is interested: Dear parents, families, faculty members, staff, and of course
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It’s been a fun journey working in the clinical LLM space 🙂 Come check out my PhD thesis seminar @ucsf Byers Auditorium Thursday 2pm or message me for a zoom link! @UCSF_BCHSI
PhD exit talk by Brenda Miao @bmeow19 happening on Thursday 2pm @UCSF Byers Auditorium, with reception to follow! Join us in celebrating Brenda's PhD work! Uncovering Strategies For Personalized Treatment Selection Using Large Language Models Healthcare data has never been so
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Excited to be at @AMIAinformatics #CIC24 in Minneapolis this week alongside an incredible @UCSFHospitals @UCSF_DOCIT team, giving a talk on how #LLMs can be used to identify barriers to optimal patient care #qualityimprovement Join us at 9.30 am CT Wednesday in Marquette 2&3!
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The potential for LLM #AI to do accurate triage in the emergency department for patient acuity @JAMANetworkOpen @atulbutte
https://t.co/y0YiOBXLB2
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Such a pleasure to be live on the @abc7newsbayarea evening news discussing how AI might one day be used in #ER triage! Check out the replay here if you missed it (from 1.55): https://t.co/R389b2SPrR
@UCSFHospitals @UCSF_DOCIT @atulbutte
abc7news.com
The Bay Area's source for breaking news and live streaming video online. Covering San Francisco, Oakland and San Jose and all of the greater Bay Area.
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Thrilled to announce our latest paper "Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency Department" published today in @JAMANetworkOpen @TravisZack2 @bmeow19 @madhumitasushil Michelle Wang @AaronKornblith @atulbutte
LLMs may be able to accurately identify higher acuity patient presentation when given pairs of presenting histories extracted from patients’ first ED documentation. https://t.co/Yl4cSNoBBH
@atulbutte
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LLMs may be able to accurately identify higher acuity patient presentation when given pairs of presenting histories extracted from patients’ first ED documentation. https://t.co/Yl4cSNoBBH
@atulbutte
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Out today in @JAMANetworkOpen! Cross-sectional study w/ 10 000 pairs of ED visits, @OpenAI GPT accurately identified the patient w/ higher acuity when given pairs of deidentified presenting histories. Work by @cykwilliams @TravisZack2 @bmeow19 @madhumitasushil Michelle Wang
LLMs may be able to accurately identify higher acuity patient presentation when given pairs of presenting histories extracted from patients’ first ED documentation. https://t.co/Yl4cSNoBBH
@atulbutte
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Check out @UCSF_BCHSI @ImmPortDB poster B941 by @SanchitaB and Reuben Sarwal on Leveraging GPT-4 for Enhanced Cell-Type Deconvolution in Immunological Research, today between 11:30 am and 12:45 pm! #AAI2024 #AI #opendata
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