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HM Hospitales

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

Developing and Validating Multi-Modal Models for Mortality Prediction in COVID-19 Patients: a Multi-center Retrospective Study

Joy T. Wu, Miguel Ángel Armengol de la Hoz, Po‐Chih Kuo et al.

2022 · 11 Zit.

The Intersection of Artificial Intelligence and Social Media in Shaping the New Digital Health Frontier: Powers and Perils

Nikita Bhatt, Esther García‐Rojo, Vineet Gauhar et al.

2023 · 10 Zit.

Manual data labeling, radiology, and artificial intelligence: It is a dirty job, but someone has to do it

Teodoro Martín‐Noguerol, Pilar López‐Úbeda, Félix Paulano‐Godino et al.

2024 · 5 Zit.

Digital Technologies to Provide Humanization in the Education of the Healthcare Workforce: A Systematic Review

María González Moreno, Carlos Monfort-Vinuesa, Antonio Piñas Mesa et al.

2023 · 5 Zit.

Large language models in Radiology: The importance of fine-tuning and the fable of the luthier

Teodoro Martín‐Noguerol, Pilar López‐Úbeda, Antonio Luna

2024 · 4 Zit.

Can Generative AI Contribute to Health Literacy? A Study in the Field of Ophthalmology

Carlos Ruíz-Núñez, Javier Gismero Rodríguez, Antonio Ruíz et al.

2024 · 4 Zit.

Multi-view deep learning framework for the detection of chest X-rays compatible with pediatric pulmonary tuberculosis

Daniel Capellán-Martín, Juan J. Gómez-Valverde, Ramon Sanchez et al.

2025 · 3 Zit.

Application of integrated artificial intelligence systems (IAIs) for the identification and study of prognostic and predictive variables of patients with localized rectal cancer treated at HM hospitals.

Rafael Álvarez, Cesar Gregorio Muñoz, Jaime Martí et al.

2022 · 2 Zit.

Who Fears Generative Artificial Intelligence? Scale Development and Predictors of Fears Towards <scp>GenAI</scp>

Guido Corradi, Cecilia Theirs, Maria Luisa Martínez‐Martí et al.

2025 · 1 Zit.

High Accuracy but Low Explainability: The Challenge of Explainable Artificial Intelligence in Multiple Sclerosis Assessment From Magnetic Resonance Imaging Radiology Reports

T Martín-Noguerol, Pilar López-Úbeda, Jorge Escartin et al.

2026 · 0 Zit.

Green Radiology and the Periodic Cartoon-Style ChatGPT Trends: A Wake-Up Call for Sustainable AI Use

T Martín-Noguerol, Pilar López-Úbeda, Antonio Luna

2026 · 0 Zit.

From GPS to ChatGPT in Radiology . . . Dumb and Dumber?

Teodoro Martín‐Noguerol, Pilar López‐Úbeda, Antonio Luna

2025 · 0 Zit.