Vollständiger Abstract
Worum geht es in dieser Arbeit?
This comparative effectiveness study examines the ability of a large language model vs human reviewer consensus to identify adverse events from encounter notes from 4 randomized clinical trials.
Bibliografischer Nachweis
Publikationsdaten
- Autor:innen
- Marianna V. Elia, Isabel D. Friesner, Daniel Kwon, Lisa Ni, Sumi Sinha, Yuta Ishiyama, Travis Zack, Mark Bridge, Lawrence Fong, Julian C. Hong
- Quelle
- JAMA Network Open
- Publikation
- 2026-01-01
- Band / Ausgabe
- Nicht angegeben
- Seiten
- Nicht angegeben
- ISSN / ISBN
- 2574-3805
- Zitationen
- 0 laut Crossref
- Referenzen
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Zitierfähiger Nachweis
Marianna V. Elia, Isabel D. Friesner, Daniel Kwon, Lisa Ni, Sumi Sinha, Yuta Ishiyama, Travis Zack, Mark Bridge, Lawrence Fong, Julian C. Hong (2026). Large Language Models and Adverse Event Detection Within Immunotherapy Clinical Trials. JAMA Network Open. https://doi.org/10.1001/jamanetworkopen.2026.31840