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Diego Benavent

Associate Professor

University of Barcelona

Spain

Research Interests

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Professors in Spain

Articles (20)

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2027

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2026

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2025

Collaborators (10)

Mitsumasa Kishimoto

JAPAN

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Teresa Otón

SPAIN

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Beatriz Merino-Barbancho

Universidad Politécnica de Madrid

SPAIN

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Leticia Lojo Oliveira

Profesora asociada

Universidad Complutense de Madrid

SPAIN

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Floris van Gaalen

Leiden University Medical Center

NETHERLANDS

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ENRIQUE JAVIER GOMEZ AGUILERA

Universidad Politécnica de Madrid

SPAIN

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Jordi Anton

Associate professor

University of Barcelona

SPAIN

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Zulema Rosales Rosado

Associate professor

SPAIN

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maxime dougados

Université Paris Cité

FRANCE

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Laura Berbel-Arcobé

Bellvitge University Hospital

SPAIN

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Diego Benavent

Research Interests

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Articles (20)

The influence of symptom duration on flare risk after biologic DMARD withdrawal in axial spondyloarthritis: A meta-analysis of randomized withdrawal trials

Fatigue in Middle-Aged and Older Adults with Axial Spondyloarthritis: A Sex-Stratified Case–Control Study

Predicting disease flares in axial spondyloarthritis using different machine learning models in the METEOR-SpA registry

Large language models in rheumatology-centered research: A scoping review of model openness and reporting practices

Early identification of difficult-to-manage axial spondyloarthritis using machine-learning decision trees

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Assessing Sarcopenia, Presarcopenia, and Malnutrition in Axial Spondyloarthritis: Insights from a Spanish Cohort

Digital health tools in juvenile idiopathic arthritis: a systematic literature review

Digital Health Intervention for Patient Monitoring in Immune-Mediated Inflammatory Diseases: Cocreation and Feasibility Study of the IMIDoc Platform

Disease phenotype and management of axial psoriatic arthritis in Japan compared with other regions, particularly other Asian countries: results of the ASAS-PerSpA study

Does symptom duration impact on treatment response in axial spondyloarthritis? A meta-analysis of randomized controlled trials

Can we identify axial spondyloarthritis among young adults referred to non-rheumatology specialists? Results from the SHERPAS study

From chat to act: large language model agents and agentic AI as the next frontier of AI in rheumatology

Large language models rewrite the diagnostic rheumatology playbook

Optimising the clinical application of rheumatology guidelines using large language models: a retrieval-augmented generation framework integrating EULAR and ACR recommendations

The precision revolution: artificial intelligence, robotic surgery, and the future of medicine

Advancing artificial intelligence in rheumatology from evidence to practice

Artificial intelligence in rheumatology research: what is it good for?

Artificial intelligence to predict treatment response in rheumatoid arthritis and spondyloarthritis: a scoping review

Correction to: Prediction model for major bleeding in anticoagulated patients with cancer-associated venous thromboembolism using machine learning and natural language processing (Clinical and Translational Oncology, (2024), 27, 4, (1816-1825), 10.1007/s12094-024-03586-2)

Collaborators (10)

Mitsumasa Kishimoto

Teresa Otón

Beatriz Merino-Barbancho

Leticia Lojo Oliveira

Floris van Gaalen

ENRIQUE JAVIER GOMEZ AGUILERA

Jordi Anton

Zulema Rosales Rosado

maxime dougados

Laura Berbel-Arcobé

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