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Collaborative large language models for automated data extraction in living systematic reviews
23
Zitationen
21
Autoren
2025
Jahr
Abstract
Large language models, when simulated in a collaborative, 2-reviewer workflow, can extract data with reasonable performance, enabling truly "living" systematic reviews.
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Autoren
- Muhammad Ali Khan
- Umair Ayub
- Syed Arsalan Ahmed Naqvi
- Kaneez Zahra Rubab Khakwani
- Zaryab bin Riaz Sipra
- Ammad Raina
- Sihan Zhou
- Huan He
- Amir Saeidi
- Bashar Hasan
- R. Bryan Rumble
- Danielle S. Bitterman
- Jeremy L. Warner
- Jia Zou
- Amyé Tevaarwerk
- Konstantinos Leventakos
- Kenneth L. Kehl
- Jeanne Palmer
- M. Hassan Murad
- Chitta Baral
- Irbaz Bin Riaz
Institutionen
- Mayo Clinic in Florida(US)
- WinnMed(US)
- University of Arizona(US)
- Rashid Latif Medical College(PK)
- Yale University(US)
- Arizona State University(US)
- Mayo Clinic in Arizona(US)
- American Society of Clinical Oncology(US)
- Dana-Farber Cancer Institute(US)
- Brown University(US)
- Rhode Island Hospital(US)
- Providence College(US)