Vall d'Hebron Institut de Recerca
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.
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.
ESMO basic requirements for AI-based biomarkers in oncology (EBAI)
Mihaela Aldea, Manuel Salto‐Tellez, Antonio Marra et al.
2025 · 8 Zit.
Does retraction after misconduct have an impact on citations? A pre-post study
Cristina Candal‐Pedreira, Alberto Ruano‐Raviña, Esteve Fernández et al.
2020 · 6 Zit.
Assessment of Artificial Intelligence Language Models and Information Retrieval Strategies for QA in Hematology
Maria R Cervera, David Bermejo-Peláez, Miguel Gómez-Álvarez et al.
2023 · 2 Zit.
¿Cómo podría la inteligencia artificial mejorar la experiencia del paciente en el ámbito ambulatorio? Reflexiones del grupo JANUS
Olga Rubio, Marc Vila, Manel Escobar et al.
2024 · 1 Zit.
Requirements for Human-Centered Artificial Intelligence: A Heart Failure Study Across Europe and Latin America
Xénia Puig-Bosch, Machteld Boonstra, Miriam Cabrita et al.
2024 · 1 Zit.
Privacy-Preserving Machine Learning (PPML)Inference for Clinically Actionable Models: How to Monetize ESSG Modelling Efforts?
Baris Balaban, Seyma Selcan Magara, Çağlar Yılgör et al.
2024 · 0 Zit.
The impact of artificial intelligence-driven risk prediction on clinical decisions in heart failure patients: the design of an international vignette study
J Ten Broeke, M J Boonstra, R W M Vernooij et al.
2026 · 0 Zit.
Patient-driven insights in sickle cell disease: Results from a global survey informing public health strategies
Mariangela Pellegrini, Baba Inusa, Raffaella Colombatti et al.
2025 · 0 Zit.
Towards Inclusive AI System Development for Disease Risk Prediction: Collecting, Prioritising and Incorporating User Stories from Heterogeneous Stakeholders
Nicholas Shopland, Andrew Burton, David J. Brown et al.
2026 · 0 Zit.
Experimenting Federated AI Models for Hematological Diseases
Luciana Carota, Francesco Casadei, G. Asti et al.
2026 · 0 Zit.
Conversational AI for remote monitoring in heart failure: a prospective controlled pilot study
Aleix Olivella, Ana B Méndez Fernández, Emmanuel Giménez García et al.
2026 · 0 Zit.
Advancing artificial intelligence in rheumatology from evidence to practice
Diego Benavent, Vullo Vincenzo, Xabier Michelena
2025 · 0 Zit.
Data validation and quality framework for building a european multimodal real-world dataset for clinical outcome research in sickle cell disease
Sara Reidel, Pablo Bartolucci, Bart J. Biemond et al.
2025 · 0 Zit.