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AllTopicsToday > Blog > AI > Next generation medical image interpretation with MedGemma 1.5 and medical speech to text with MedASR
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Next generation medical image interpretation with MedGemma 1.5 and medical speech to text with MedASR

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Last updated: January 27, 2026 9:36 pm
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Published: January 27, 2026
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Bettering efficiency in medical imaging use circumstances

MedGemma was designed from the bottom up as a multimodal mannequin, reflecting the multimodal nature of healthcare. MedGemma 1 included help for interpretation of 2D medical photos equivalent to chest radiographs, dermatology photos, fundus photos, and histopathology patches.

MedGemma 1.5 expands help for high-dimensional medical imaging, beginning with 3D volumetric views for CT imaging and MRI, and together with whole-slide histopathology imaging. Builders can create purposes the place a number of slices (for CT or MRI) or a number of patches (for histopathology) are offered as enter together with prompts that describe the duty.

Inner benchmarks confirmed that MedGemma 1.5’s baseline absolute accuracy was 3% (61% vs. 58%) higher than MedGemma 1 for classifying disease-related CT findings and 14% (65% vs. 51%) for classifying disease-related MRI findings (common of findings). Moreover, for inner numerous benchmarks of histopathology slides and related findings, MedGemma 1.5’s predictive constancy based mostly on ROUGE-L scores for circumstances with just one histopathology slide improved by 0.47 over MedGemma 1 (0.49 vs. 0.02) and matched the 0.498 rating achieved by the task-specific PolyPath mannequin.

This new high-dimensional help is a pure evolution of CT Basis, a earlier API-based instrument for producing CT embeddings. To our information, MedGemma 1.5 is the primary public launch of an open multimodal large-scale language mannequin able to decoding high-dimensional medical knowledge whereas retaining the flexibility to interpret frequent 2D knowledge and textual content. Though these options are of their early levels and nonetheless incomplete, we hope to proceed to enhance the MedGemma mannequin over time, as builders can obtain improved outcomes by fine-tuning the MedGemma mannequin based mostly on their very own knowledge. We’ve got launched a tutorial pocket book that explains tips on how to use this high-dimensional imaging functionality in CT (Face-Holding, Mannequin Backyard) and Histopathology (Face-Holding, Mannequin Backyard).

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