Publications

SYNDOCDIS: A Metadata-Driven Framework for Generating Synthetic Physician Discussions Using Large Language Models

AuthID
P-01A-21Y

Author(s)

Rubinstein, B

Matos, S

Editor(s)

de Oliveira,JV;Leite,J;Rodrigues,J;Dias,J;Cardoso,P

Document Type

Proceedings Paper

Year published

2025

Published

in Progress in Artificial Intelligence - 24th EPIA Conference on Artificial Intelligence, EPIA 2025, Faro, Portugal, October 1-3, 2025, Proceedings, Part I in Lecture Notes in Computer Science, ISSN: 16113349; 03029743

Volume: 16121, Pages: 311-323

Conference

24Th Epia Conference on Artificial Intelligence, Epia 2025,, Location: Faro

Indexing

Scopus^®

Dblp^®/en/publications/view/1378366

Crossref^®

Google Scholar^®

Metadata
Sources

Publication Identifiers

DOI: 10.1007/978-3-032-05176-9_24

Dblp: conf/epia/RubinsteinM25

Scopus: 2-s2.0-105016904368

Source Identifiers

ISSN: 16113349; 03029743

Export Publication Metadata

Marked List

Add to Marked List

Info

At this moment we don't have any links to full text documens.

SYNDOCDIS: A Metadata-Driven Framework for Generating Synthetic Physician Discussions Using Large Language Models

Useful Links

Get Help

Federated Authentication (Click on the image)

SYNDOCDIS: A Metadata-Driven Framework for Generating Synthetic Physician Discussions Using Large Language Models

Useful Links

Get Help