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Philipp Schmid / @_philschmid: New Gemma model! @GoogleDeepMind MedGemma 1.5 4B is an updated 4B variant expanding support for 3D imaging, longitudinal analysis, and localization while improving text accuracy over MedGemma 1. - Interprets 3D volumes for CT, MRI, and whole-slide histopathology. - Achieves 38% [image]
@kimmonismus: Google Research has released MedGemma 1.5, a major upgrade that boosts performance across CT, MRI, histopathology, X-ray timelines, and medical text Delivering gains up to +14% accuracy in imaging tasks and +22% in EHR QA. Alongside it comes MedASR, an open medical speech-to-text model with up to 82% fewer transcription errors than general ASR [image]
@mahmoudhsssnn: New Gemma model! @GoogleDeepMind MedGemma 1.5 4B is an updated 4B variant expanding support for 3D imaging, longitudinal analysis, and localization while improving text accuracy over MedGemma 1. - Interprets 3D volumes for CT, MRI, and whole-slide histopathology. - Achieves 38% [image]
Omar Sanseviero / @osanseviero: Introducing MedGemma 1.5, an open-access model for multimodal medical use cases It expands the tasks and data formats it can understand (high-dimensional medical imaging, EHRs, anatomical localization with bounding boxes, etc) https://research.google/... [image]
Sundar Pichai / @sundarpichai: MedGemma 1.5 is a major upgrade to our open models for healthcare developers. The new 4B model enables developers to build applications that natively interpret full 3D scans (CTs, MRIs) with high efficiency - a first, we believe, for an open medical generalist model. MedGemma 1.5 also pairs well with MedASR, our speech-to-text model fine-tuned for highly accurate medical dictation. Developers can now use these multimodal capabilities to build medical apps that reach patients in more places.
@googleaidevs: Announcing MedGemma 1.5 🩺 This updated open model from @GoogleResearch is small enough to run offline, improves performance on medical imaging use cases, and enhances core capabilities for text, medical records and 2D images. https://research.google/...