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Chest CT model reportedly generated a radiology report in under 30 seconds on one NVIDIA GPU

A user says the model was trained on 70,111 CT scans, with NVIDIA's open weights on Hugging Face.

Maziyar PANAHIMP
Hugging FaceHF
2 Sources, 2h ago, first seen 2h ago

TLDR

A user says a model trained on 70,111 CT scans generated a radiology report from a full chest CT in under 30 seconds on one NVIDIA GPU. In the example shared, its top finding was a spiculated nodule in the right upper lobe. An expert's tumor marking, which the model had not seen, was also in the right lung. The user says NVIDIA's open weights are on Hugging Face.

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7.1K

2 Sources, first seen 2h ago

46 likes7 comments34 saves11 reposts

Combined views

7.1K

2 Sources, first seen 2h ago

46 likes7 comments34 saves11 reposts
Image: @MaziyarPanahi on X

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2 Sources

Maziyar PANAHI@MaziyarPanahi70,111 CT scans trained this model. one NVIDIA GPU turned a full chest CT into a radiology report in under 30 seconds 🔥 top finding: a spiculated nodule, right upper lobe. the expert's tumor marking it never saw? right lung. open weights from @nvidia on @huggingface 🤗2h
Hugging Face@huggingfaceRT @MaziyarPanahi: 70,111 CT scans trained this model. one NVIDIA GPU turned a full chest CT into a radiology report in under 30 seconds 🔥…1h
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    2 Sources

    Maziyar PANAHI@MaziyarPanahi70,111 CT scans trained this model. one NVIDIA GPU turned a full chest CT into a radiology report in under 30 seconds 🔥 top finding: a spiculated nodule, right upper lobe. the expert's tumor marking it never saw? right lung. open weights from @nvidia on @huggingface 🤗2h
    Hugging Face@huggingfaceRT @MaziyarPanahi: 70,111 CT scans trained this model. one NVIDIA GPU turned a full chest CT into a radiology report in under 30 seconds 🔥…1h
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    #14

    Today's Rank

    #14