A new expert-annotated dataset of embryo images with natural language morphological descriptions to support interpretable AI for transparent IVF embryo selection and patient communication.
Medicine2, 10.1038/s41746-019-0096-y (2019)
2 Pith papers cite this work. Polarity classification is still indexing.
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InVitroVision, a fine-tuned PaliGemma-2 model, generates natural language descriptions of embryo development and outperforms ChatGPT 5.2 and base models on a public time-lapse dataset.
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Expert-Annotated Embryo Image Dataset with Natural Language Descriptions for Evidence-Based Patient Communication in IVF
A new expert-annotated dataset of embryo images with natural language morphological descriptions to support interpretable AI for transparent IVF embryo selection and patient communication.
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InVitroVision: a Multi-Modal AI Model for Automated Description of Embryo Development using Natural Language
InVitroVision, a fine-tuned PaliGemma-2 model, generates natural language descriptions of embryo development and outperforms ChatGPT 5.2 and base models on a public time-lapse dataset.