Vall d'Hebron Institut de Recerca

Machine learning in critical care: state-of-the-art and a sepsis case study

Alfredo Vellido, Vicent Ribas, Carles Morales et al.

2018 · 66 Zit.

The current state of knowledge on imaging informatics: a survey among Spanish radiologists

Daniel Eiroa, Andreu Antolín, M. Fernández del Castillo Ascanio et al.

2022 · 16 Zit.

ESMO basic requirements for AI-based biomarkers in oncology (EBAI)

Mihaela Aldea, Manuel Salto‐Tellez, Antonio Marra et al.

2025 · 15 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 · 14 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.

Sickle cell disease: embedding patient participation into an international conference can transform the role of lived experience

M Pellégrini, Subarna Chakravorty, María Del Mar Mañú Pereira et al.

2023 · 4 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 · 2 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 · 2 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.

Image analysis research in neuroradiology: bridging clinical and technical domains

Deborah Pareto, Pablo Naval‐Baudin, Albert Pons‐Escoda et al.

2025 · 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.

ABSTRACT NUMBER: ESOC2026LT81 VALIDATION OF A TRUSTWORTHY AI-BASED CLINICAL DECISION SUPPORT SYSTEM FOR PREDICTING PATIENT OUTCOME IN ACUTE STROKE TREATMENT (VALIDATE)

Marta Rubiera, Adam Hilbert, Ronen R Leker et al.

2026 · 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.

Real-time prospective (shadow mode) validation of an AI-based clinical decision support system for predicting 3-month functional outcome in acute stroke: the VALIDATE study protocol

Marta Rubiera, Martin Bendszus, Ronen R Leker 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.