Artificial Intelligence-enabled GRADE: how the GRADE Working Group will use automation to rate the certainty of evidence of intervention effects
- DOI
- 10.1016/j.jclinepi.2026.112411
- Published
- 2026-10
- Container
- Journal of Clinical Epidemiology
- Publisher
- Elsevier BV
- Open access
- unknown
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BibTeX
@article{allodium:10.1016/j.jclinepi.2026.112411,
title = {Artificial Intelligence-enabled GRADE: how the GRADE Working Group will use automation to rate the certainty of evidence of intervention effects},
author = {Bernardo Sousa-Pinto and Manuel Marques-Cruz and Rafael José Vieira and Vítor Henrique Duarte and Camila Ávila-Oliver and Andreea Dobrescu and Paweł Jemioło and Arnav Agarwal and Malgorzata M. Bala and Jessica Beltran and Antonio Bognanni and Fabio Cruciani and Omar Dewidar and Sara Gil-Mata and Changhao Liang and Daniel Martinho-Dias and Claus Nowak and Honoria Ocagli and Paula Perestrelo and Ana Carolina Pereira Nunes Pinto and Joana Reis-Pardal and Pau Riera-Serra and Aline Rocha and Karina Fernández-Saénz and Itziar Etxeandia-Ikobaltzeta and Curtis S. Harrod and Miranda W. Langendam and Joerg Meerpohl and Francesco Nonino and Wojtek Wiercioch and Ignacio Neumann and Ariel Izcovich and Silvia Minozzi and Gerald Gartlehner and Holger J. Schünemann},
year = {2026},
journal = {Journal of Clinical Epidemiology},
doi = {10.1016/j.jclinepi.2026.112411},
url = {https://doi.org/10.1016/j.jclinepi.2026.112411}
}RIS
TY - JOUR TI - Artificial Intelligence-enabled GRADE: how the GRADE Working Group will use automation to rate the certainty of evidence of intervention effects AU - Bernardo Sousa-Pinto AU - Manuel Marques-Cruz AU - Rafael José Vieira AU - Vítor Henrique Duarte AU - Camila Ávila-Oliver AU - Andreea Dobrescu AU - Paweł Jemioło AU - Arnav Agarwal AU - Malgorzata M. Bala AU - Jessica Beltran AU - Antonio Bognanni AU - Fabio Cruciani AU - Omar Dewidar AU - Sara Gil-Mata AU - Changhao Liang AU - Daniel Martinho-Dias AU - Claus Nowak AU - Honoria Ocagli AU - Paula Perestrelo AU - Ana Carolina Pereira Nunes Pinto AU - Joana Reis-Pardal AU - Pau Riera-Serra AU - Aline Rocha AU - Karina Fernández-Saénz AU - Itziar Etxeandia-Ikobaltzeta AU - Curtis S. Harrod AU - Miranda W. Langendam AU - Joerg Meerpohl AU - Francesco Nonino AU - Wojtek Wiercioch AU - Ignacio Neumann AU - Ariel Izcovich AU - Silvia Minozzi AU - Gerald Gartlehner AU - Holger J. Schünemann PY - 2026 JO - Journal of Clinical Epidemiology DO - 10.1016/j.jclinepi.2026.112411 UR - https://doi.org/10.1016/j.jclinepi.2026.112411 ER -
APA
Sousa-Pinto, B., Marques-Cruz, M., Vieira, R. J., Duarte, V. H., Ávila-Oliver, C., Dobrescu, A., Jemioło, P., Agarwal, A., Bala, M. M., Beltran, J., Bognanni, A., Cruciani, F., Dewidar, O., Gil-Mata, S., Liang, C., Martinho-Dias, D., Nowak, C., Ocagli, H., Perestrelo, P., Pinto, A. C. P. N., Reis-Pardal, J., Riera-Serra, P., Rocha, A., Fernández-Saénz, K., Etxeandia-Ikobaltzeta, I., Harrod, C. S., Langendam, M. W., Meerpohl, J., Nonino, F., Wiercioch, W., Neumann, I., Izcovich, A., Minozzi, S., Gartlehner, G., & Schünemann, H. J. (2026). Artificial Intelligence-enabled GRADE: how the GRADE Working Group will use automation to rate the certainty of evidence of intervention effects. Journal of Clinical Epidemiology. https://doi.org/10.1016/j.jclinepi.2026.112411
Source records
- crossref · retrieved 2026-09-26T00:17:55.430Z