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EHR flow
Source:
Nature Medicine
July 5, 2024

BCHSI affiliated faculty publish - Alice S. Tang, Sarah R. Woldemariam, Silvia Miramontes, Beau Norgeot, Tomiko T. Oskotsky & Marina Sirota

jamia
Source:
JAMIA
July 1, 2024

Real world evidence, AI - Reducing diagnostic delays in acute hepatic porphyria using health records data and machine learning

ai monitoring headline
Source:
UCSF DOC IT
May 29, 2024

BCHSI / DoC IT Julia Adler Milstein and Sara Murray (UC Health) lead the new Impact Monitoring Platform for AI in Clinical Care (IMPACC), to robustly assess clinical AI technologies for efficacy, safety, and equity. 

Chris Williams
Source:
UCSF
May 20, 2024

BCHSI Postdoc / First author Chris Williams/UCSF-led study finds artificial intelligence is as good as a physician at prioritizing which patients need to be seen first.

Additional coverage:

jama open network
Source:
JAMA Open Network
May 9, 2024

affiliated faculty Christopher Y. K. Williams, Travis Zack,  Brenda Y. Miao, et al publish - LLMs may be able to accurately identify higher acuity patient presentation when given pairs of presenting histories extracted from patients’ first ED documentation

nairr
Source:
MeriTalk
May 8, 2024

Pre-training a generative selective state space model, the Mamba model, on UCSF-specific deidentified clinical notes and time-series structured data - Madhumita Sushil , UCSF
Press release
List of Projects
Whitehouse video

Andreas M. Rauschecker, MD, PhD
Source:
National Comprehensive Cancer Network®
May 6, 2024

Andreas Rauschecker, MD, PhD, Assistant Professor of Radiology, BCHSI-affiliated faculty, recipient for: Deep Learning Radiogenomic Analysis of Primary CNS Lymphoma on Brain MRI

rima arnaout
Source:
JAMA
April 2, 2024

For cardiologist Rima Arnaout, MD, imaging is the “final frontier” of phenotyping. AI’s ability to analyze images could help echocardiographers like her rule out diseases and abnormalities.

chart
Source:
JAMA Oncology
April 1, 2024

Study by Izzy Freisner, Bakar affiliated faculty Jean Feng, Julian Hong, et al.

nejm ai
Source:
NEJM AI
March 19, 2024

Bakar affiliated faculty Julian Hong, et al publish on cost study of their randomized controlled healthcare Machine Learning trial, ML directed supportive care to reduce hospitalizations and ER visits during radiation treatment cost-efficiently

NE JM AI graphic
Source:
NEJM AI
March 15, 2024

Madhumita Sushil, Travis Zack, Atul Butte, et al publish in NEJM AI on releasing a new oncology NLP benchmark of 40 breast and pancreatic cancer progress notes from UCSF, comprehensively annotated by medical experts.

KRON News, Marina Sirota
Source:
KRON News, Scripps News
March 5, 2024

Bakar faculty Marina Sirota and Alice Tang were recently featured in KRON and Scripps news sharing their published work in Nature Aging.
WATCH KRON News segment
WATCH Scripps News segment
TIME article