TY  - JOUR
AU  - Caponio, Vito Carlo Alberto
AU  - Lorenzo-Pouso, Alejandro I
AU  - Magalhaes, Marco
AU  - Ali, Aiman
AU  - Adamo, Daniela
AU  - Cirillo, Nicola
AU  - López-Pintor Muñoz, Rosa María
AU  - Musella, Gennaro
PY  - 2025
DO  - 10.1016/j.jdent.2025.106245
SN  - 0300-5712
UR  - https://hdl.handle.net/20.500.14352/129877
T2  - Journal of Dentistry
AB  - Objectives: Evidence-based dentistry relies heavily on systematic reviews and meta-analyses (SRMA), considered the most robust forms of evidence. Still, conducting SRMA is time- and resource-intensive, with high error rates in data extraction....
LA  - eng
M2  - 106245
PB  - Elsevier
KW  - Artificial intelligence
KW  - Data extraction
KW  - Dentistry
KW  - Large language model
KW  - Meta-analysis
KW  - Systematic review
TI  - Accuracy of LLMs to retrieve numeric data for meta-analysis in dentistry
TY  - journal article
VL  - 164
ER  -