2 papers
cs.AI2026
InVitroVision: a Multi-Modal AI Model for Automated Description of Embryo Development using Natural Language
Nicklas Neu, Thomas Ebner, Jasmin Primus +4
The application of artificial intelligence (AI) in IVF has shown promise in improving consistency and standardization of decisions, but often relies on annotated data and does not…
cs.CV2026
Expert-Annotated Embryo Image Dataset with Natural Language Descriptions for Evidence-Based Patient Communication in IVF
Nicklas Neu, Thomas Ebner, Jasmin Primus +4
Embryo selection is one of multiple crucial steps in in-vitro fertilization, commonly based on morphological assessment by clinical embryologists. Although artificial intelligence…