Frazier Huo
@Zepeng_Huo
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Joined November 2015
RT @percyliang: What would truly open-source AI look like? Not just open weights, open code/data, but *open development*, where the entireโฆ.
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๐ Public releases ๐๐ต๐ฟ๐ฒ๐ฒ ๐ฑ๐ฒ-๐ถ๐ฑ๐ฒ๐ป๐๐ถ๐ณ๐ถ๐ฒ๐ฑ ๐น๐ผ๐ป๐ด๐ถ๐๐๐ฑ๐ถ๐ป๐ฎ๐น ๐๐๐ฅ ๐ฑ๐ฎ๐๐ฎ๐๐ฒ๐๐ (EHRSHOT, INSPECT, MedAlign) with 25,991 patients & 295M clinical events (1997-2023)โnow freely available for ๐ฬฒ๐ฬฒ๐ฬฒโฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒ๐ฬฒโฬฒ๐ฐฬฒ๐ธฬฒ.
๐ We're thrilled to announce the general release of three de-identified, longitudinal EHR datasets from Stanford Medicineโnow freely available for non-commercial research-use worldwide! ๐ . Read our HAI blog post for more details: ๐๐ฎ๐๐ฎ๐๐ฒ๐.
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๐ Excited to share that our latest research, ๐๐ช๐ฎ๐ฆ-๐ต๐ฐ-๐๐ท๐ฆ๐ฏ๐ต ๐๐ณ๐ฆ๐ต๐ณ๐ข๐ช๐ฏ๐ช๐ฏ๐จ ๐ง๐ฐ๐ณ 3๐ ๐๐ฆ๐ฅ๐ช๐ค๐ข๐ญ ๐๐ฎ๐ข๐จ๐ช๐ฏ๐จ, has been accepted at ๐๐๐๐ฅ 2025! ๐. ๐ ๐๐บ๐ฝ๐ฟ๐ผ๐๐ถ๐ป๐ด ๐ ๐ฒ๐ฑ๐ถ๐ฐ๐ฎ๐น ๐๐บ๐ฎ๐ด๐ฒ ๐ฃ๐ฟ๐ฒ๐๐ฟ๐ฎ๐ถ๐ป๐ถ๐ป๐ด ๐๐ถ๐๐ต ๐ง๐ถ๐บ๐ฒ-๐๐ผ-๐๐๐ฒ๐ป๐.
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RT @loublanks: ๐ง Excited to introduce Merlin, a vision language foundation model for 3D computed tomography ๐โโฌ๐ฉป. Trained to understand 3Dโฆ.
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Longitudinal EHR data in such large scale is perfect to build your own EHR foundation model!.
Excited to announce the official full release of ๐๐EHRSHOT -- a dataset of 6,739 deidentified longitudinal EHRs for few-shot eval of foundation models!. ๐Website: ๐ฅDataset: ๐คModel:
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Excited to publish dataset for #OpenScience ๐ค.
We're excited to introduce #INSPECT a large-scale โจ3D multimodalโจmedical imaging dataset #NeurIPS2023 . 19,402 Stanford Medicine Patients.๐ฉป23,248 CT Scans + ๐Paired Radiology Notes.๐Longitudinal EHRs.๐ฉบClinician-validated task labels.#DataCentricAI #Multimodal #3Dimaging. 1/.
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RT @jasonafries: Lots of hype around #LLMs in healthcare. What do clinicians really want from an #LLM? We asked them! Introducing #MedAlignโฆ.
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RT @MichaelWornow: There's a lot of excitement around large language models (LLMs) for healthcare. But what's hype and what's real?. In thiโฆ.
nature.com
npj Digital Medicine - The shaky foundations of large language models and foundation models for electronic health records
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