Validation of automated paper screening for esophagectomy systematic review using large language models
Background Large language models (LLMs) offer a potential solution to the labor-intensive nature of systematic reviews. This study evaluated the ability of the GPT model to identify articles that discuss perioperative risk factors for esophagectomy complications. To test the performance of the model...
Saved in:
| Main Authors: | Rashi Ramchandani, Eddie Guo, Esra Rakab, Jharna Rathod, Jamie Strain, William Klement, Risa Shorr, Erin Williams, Daniel Jones, Sebastien Gilbert |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PeerJ Inc.
2025-04-01
|
| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-2822.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Navigating the integration of ChatGPT in UAE’s government sector: challenges and opportunities
by: Ghada Nabil Goher
Published: (2025-01-01) -
Unge og helseinformasjon<subtitle>ChatGPT vs. fagpersoner</subtitle>
by: Marita Skjuve, et al.
Published: (2025-01-01) -
ChatGPT nella valutazione dell’elaborato scritto
by: Nizzolino, Salvatore
Published: (2025-04-01) -
Leveraging human-AI collaboration to visualize age-related diabetes features using dataset
by: Yoshiyasu Takefuji
Published: (2024-09-01) -
The Role of ChatGPT in Dermatology Diagnostics
by: Ziad Khamaysi, et al.
Published: (2025-06-01)