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@@ -61,8 +61,14 @@ histopathology slides. Its LLM component is trained on a diverse set of medical
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  data, including radiology images, histopathology patches, ophthalmology images,
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  and dermatology images.
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  MedGemma 27B has been trained exclusively on medical text and optimized for
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- inference-time computation.
 
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  MedGemma variants have been evaluated on a range of clinically relevant
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  benchmarks to illustrate their baseline performance. These include both open
 
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  data, including radiology images, histopathology patches, ophthalmology images,
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  and dermatology images.
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+ MedGemma 4B is available in both pre-trained (suffix: `-pt`) and
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+ instruction-tuned (suffix `-it`) versions. The instruction-tuned version is a
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+ better starting point for most applications. The pre-trained version notably
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+ achieves better performance on MIMIC-style chest X-ray reporting.
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+
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  MedGemma 27B has been trained exclusively on medical text and optimized for
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+ inference-time computation. MedGemma 27B is only available as an
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+ instruction-tuned model.
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  MedGemma variants have been evaluated on a range of clinically relevant
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  benchmarks to illustrate their baseline performance. These include both open