Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Does retraction after misconduct have an impact on citations? A pre–post study
Cristina Candal‐Pedreira, Alberto Ruano‐Raviña, Esteve Fernández et al.
2020 · 56 Zit.
Utilizing a domain-specific large language model for LI-RADS v2018 categorization of free-text MRI reports: a feasibility study
Mario Matute‐González, Anna Darnell, Marc Comas‐Cufí et al.
2024 · 17 Zit.
The barriers to uptake of artificial intelligence in hepatology and how to overcome them
Jan Clusmann, Maria Balaguer‐Montero, Octavi Bassegoda et al.
2025 · 13 Zit.
Platform trials as the way forward in infectious disease’ clinical research: the case of coronavirus disease 2019
Juan M. Pericàs, Lennie Derde, Scott Berry
2022 · 13 Zit.
Should Artificial Intelligence‐based language models be allowed in developing scientific manuscripts? A debate between <scp>ChatGPT</scp> and the editors of <i>Liver International</i>
Alessio Aghemo, Alejandro Forner, Luca Valenti
2023 · 8 Zit.
Commentary on “A systematic review on machine learning and deep learning techniques in cancer survival prediction”: Validation of survival methods
Julia Sidorova, Juan José Lozano
2023 · 1 Zit.
Inteligencia artificial en simulación médica: estado actual y proyecciones futuras
Rafael Selman-Álvarez, Úrsula Figueroa-Fernández, Enrique Cruz-Mackenna et al.
2023 · 1 Zit.
Advancing radiology reporting with large language models: Is <scp>GPT</scp>‐4 the <scp>LI‐RADS</scp> game changer or just a wild card?
Álvaro Díaz‐González, Alejandro Forner, Juan Turnés
2024 · 1 Zit.
Use of digital health tools in inflammatory bowel disease
Iago Rodríguez-Lago, Beatriz Gros, Kristy Sánchez et al.
2024 · 1 Zit.
Editorial: Pioneers & pathfinders: 10 years of frontiers in medicine
Michel Goldman, A. Chen, Jacqueline Bloomfield et al.
2025 · 0 Zit.
Performance of large language models in addressing patient queries on colorectal cancer screening in different languages: An international study across 28 countries
Maida M, Papaefthymiou A, G Z E K E R E S et al.
2025 · 0 Zit.