Madhumita Sushil
@madhumitasushilAssistant Professor @UCSF_DOCIT, @NeurosurgUCSF, @UCSF_BCHSI. Prev clinical NLP, neural network interpretability @clipsua, research intern @Google Research
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Really excited to see our paper on curating a detailed oncology information extraction benchmark featured in #AMIA2024 year-in-review! Read the paper here: ai.nejm.org/doi/full/10.10… @atulbutte @UCSF_BCHSI @UCSF_DOCIT
BREAKING NEWS The Royal Swedish Academy of Sciences has decided to award the 2024 #NobelPrize in Physics to John J. Hopfield and Geoffrey E. Hinton “for foundational discoveries and inventions that enable machine learning with artificial neural networks.”
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! nairrpilot.org/projects/award…
Such a well-deserved award! We are extremely grateful to be beneficiaries of your vision, care, and mentorship. Your commitment towards your vision and your team members inspires me every single day, @atulbutte
We are thrilled to announce that Atul Butte, MD, PhD (@atulbutte) has received the 2024 Morris F. Collen Award of Excellence. lnkd.in/gy5YACpb
Summer reading! Can LLMs reduce need for large scale data labeling ? @madhumitasushil @Atulbutte Travis Zack and co compare LLMs on zero-shot inference and supervised classification of breast cancer pathology reports. In Journal @AMIAinformatics buff.ly/4fmkOgd @BCHSI
People ask me all the time for AI use cases in healthcare So last month, we hosted the first OOP hackathon using generative AI tools Here are all the projects that were made in 36 hours. They made me more optimistic about the future
It was an absolute pleasure to discuss my journey into medical NLP and path to UCSF! Thanks @tomiko22 and @msirota84 for the opportunity! @UCSF_BCHSI
Day #8! Huge thank you to @madhumitasushil for sharing your inspiring journey with our high school students as well as insights into your fascinating work involving language models and electronic medical records to advance healthcare! #AI #LLM #NLP
Day #8! Huge thank you to @madhumitasushil for sharing your inspiring journey with our high school students as well as insights into your fascinating work involving language models and electronic medical records to advance healthcare! #AI #LLM #NLP
Social drivers of health are crucial in assessing & addressing patient needs. Now out in JAMIAOpen @Harry_S_Sun +team: topic-modeling clustering of 1 million deidentified notes from our social worker colleagues, to better understand all our patient needs! buff.ly/3Li2gjj
Can't emphasize how under-appreciated these struggles are for immigrants in academia. The playing field is so different. Academia is tough for everyone, but not being eligible to even apply for so many grants without a green card makes it infinitely harder.
Immigrant scientists in academia endure a unique kind of struggle. We are often not eligible for most fellowships and grants. We must be exceptionally productive—our publications and articles contribute towards our green card applications!
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…
Review Article by Jiageng Wu, MS, et al.: Clinical Text Datasets for Medical Artificial Intelligence and Large Language Models — A Systematic Review nejm.ai/3wNGMXM #AIinMedicine
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! buff.ly/4be3sPQ
Check out this study led by @cykwilliams assessing the utility of GPT models for triaging patients in the emergency department. TLDR: these models are pretty good at the job!
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
UCSF receives 2 of the 35 inaugural @NSF -led National AI Research Resource Pilot awards partnership with DOE @ENERGY! meritalk.com/articles/nsf-d… Full list nairrpilot.org/awarded-projec… @madhumitasushil & Vadim Shteyler Announced at the @WhiteHouse
How should we evaluate #LLMs for downstream clinical use cases? In this @npjDigitalMed article, we propose a transition from static QA-style benchmarks to dynamic agent-based simulators, similar to methods used in biology, epidemiology & social sciences. nature.com/articles/s4174…
AI can help to bring high-quality, equitable care across the globe 🌏
Happy sharing of CARMEN-I @ PhysioNet (also hosts MIMIC-IV) URL: physionet.org/content/carmen… CARMEN-I comprises 2,000 clinical records (discharge letters, referrals, radiology reports from H. Clínic). Diverse comorbidities, anonymization, symptoms, diseases, procedures, medications.
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Who to follow
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Amelia J. Averitt, MPH MA PhD
@AJAveritt -
UCSF Bakar Computational Health Sciences Institute
@UCSF_BCHSI -
Monica Agrawal
@MonicaNAgrawal -
byron wallace
@byron_c_wallace -
AMIA NLP WG
@amiaNLPwg -
Shenghuan(Harry)_Sun 孙圣桓
@Harry_S_Sun -
Sirota Lab at UCSF
@SirotaLab -
Stephan Tulkens
@tulkenss -
AMIA KDDM WG
@amiaKDDMwg -
Liling Tan
@alvations -
Rui Zhang, PhD, FAMIA
@RuiZhang1229 -
Tejas Srinivasan
@_Tejas_S_ -
Alice Summer Tang
@AliceTang_mstp -
Jingcheng Du
@JingchengDu -
You Chen, PhD, FAMIA
@ohpenlab
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