SynthMedic: Utilizing large language models for synthetic discharge summary generation, correction and validation

Georgi Grazhdanski, Vasil Vasilev, Sylvia Vassileva, Dimitar Taskov, Izabel Antova, Ivan Koychev, Svetla Boytcheva, SynthMedic: Utilizing large language models for synthetic discharge summary generation, correction and validation, Journal of Biomedical Informatics, Volume 170, October 2025, 104906

Bloor Research Report – Ontotext GraphDB in Brief 2023

This report features a detailed evaluation of Ontotext’s GraphDB and Ontotext Platform by Bloor Research – an independent research and analyst house.

The report will be an engaging read for anyone interested in the capabilities some of Ontotext’s products

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SynthMedic: Utilizing large language models for synthetic discharge summary generation, correction and validation

Bloor Research Report – Ontotext GraphDB in Brief 2023

What does the Bloor InBrief Report include?

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Want more like this? The Ontotext Recommendations engine combines content and its semantic fingerprint to retrieve knowledge graph-driven recommendations. It is integrated with the Ontotext Metadata Studio tagging to power meaningful recommendations based on both semantic relevancy and recency.

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