Comprehensive documentation for DataTools4Heart community software
View the Project on GitHub DataTools4Heart/documentation-hub
The DT4H Virtual Assistant (VA) is a tool designed to support clinical researchers in cardiology and related fields. It enables researchers to interact in seven languages for the following tasks:
Note: Metadata retrieval may take several minutes due to the distributed computation across nodes. It is recommended to request metadata at the beginning of a session.
All chat history with the VA is automatically stored. Researchers can browse previous conversations at any time, and they have the option to delete or export them.
The VA supports interaction in 7 languages, selectable from the top-right menu:
Researchers can seamlessly switch between languages during interaction, ensuring accessibility across the European research community.

Language selection in the VA
Researchers can use the VA to look for studies with specific patient characteristics, such as chronic kidney disease (CKD). Once a study of interest is identified, the VA also provides detailed information about the hospitals (nodes) that are included in the study. The results are retrieved from the Data Catalogue (DC), which displays the relevant datasets together with their associated attributes.

Example of study search in the VA
Before starting a conversation, researchers can request cohort metadata. This step runs a secure computation across all selected nodes using the SMPC algorithm.
Steps:
study1)Note: This step may take several minutes to complete. The status of the metadata request is shown (e.g., running, exited).

Overview of aggregated metadata requests
Creating a new metadata request for a specific study and nodes
Once metadata is available, researchers can:
The VA ensures results are based on privacy-preserving federated queries across distributed hospital nodes.