Instituto de Biomedicina de Sevilla

Accuracy, Reliability, and Comprehensibility of ChatGPT-Generated Medical Responses for Patients With Nonalcoholic Fatty Liver Disease

Nicola Pugliese, Vincent Wai‐Sun Wong, Jörn M. Schattenberg et al.

2023 · 83 Zit.

A systematic review and meta-analysis of artificial intelligence diagnostic accuracy in prostate cancer histology identification and grading

Andrey Morozov, Mark Taratkin, Andrey Bazarkin et al.

2023 · 37 Zit.

Criss‐cross heart three‐dimensional printed models in medical education: A multicenter study on their value as a supporting tool to conventional imaging

Israel Valverde, Gorka Gómez, Nick Byrne et al.

2021 · 32 Zit.

The role of Open Access Data in democratizing healthcare AI: A pathway to research enhancement, patient well-being and treatment equity in Andalusia, Spain

Álvaro Ritoré, Claudia M Jiménez, Juan Luis González-Caballero et al.

2024 · 19 Zit.

Ensemble machine learning methods in screening electronic health records: A scoping review

Christophe Stevens, Alexander R.M. Lyons, Kanika Dharmayat et al.

2023 · 16 Zit.

Predicting 30-Day Readmission Risk for Patients With Chronic Obstructive Pulmonary Disease Through a Federated Machine Learning Architecture on Findable, Accessible, Interoperable, and Reusable (FAIR) Data: Development and Validation Study

Celia Álvarez-Romero, Alicia Martínez-García, Jara Ternero Vega et al.

2022 · 12 Zit.

Mitigating patient harm risks: A proposal of requirements for AI in healthcare

Juan M. García‐Gómez, Vicent Blanes-Selva, Celia Alvarez Romero et al.

2025 · 8 Zit.

Comment on "Artificial intelligence to predict oncological outcome directly from hematoxylin and eosin-stained slides in urology: a systematic review"

I. Rivero Belenchón, Enrico Checcucci, Juan Gómez Rivas et al.

2023 · 3 Zit.

Ethical and secure evidence generation from regionwide clinical data through a collaborative environment for advancing predictive care

Dolores Muñoyerro-Muñiz, Román Villegas, V. Oliva et al.

2025 · 2 Zit.

Impacto de las nuevas tecnologías en la neurología en España. Revisión del Comité Ad-Hoc de Nuevas Tecnologías de la Sociedad Española de Neurología

Roberto López‐Blanco, A. Rodriguez, Esther Cubo et al.

2020 · 2 Zit.

Report on the <scp>FEBS‐IUBMB‐ENABLE</scp> 1st International Molecular Biosciences <scp>PhD</scp> and Postdoc Conference

Marta Reyes‐Corral, Maren Pfirrmann

2023 · 2 Zit.

Predicting 30-Day Readmission Risk for Patients With Chronic Obstructive Pulmonary Disease Through a Federated Machine Learning Architecture on Findable, Accessible, Interoperable, and Reusable (FAIR) Data: Development and Validation Study (Preprint)

Celia Álvarez-Romero, Alicia Martínez-García, Jara Ternero Vega et al.

2021 · 0 Zit.

Accuracy of large language models in interpreting urological clinical guidelines: a comparative study with expert evaluation

Angel Borque-Fernando, D. Navarro, M. Doblaré et al.

2026 · 0 Zit.

Machine Learning–Based Prediction of Changes in the Clinical Condition of Patients With Complex Chronic Diseases: 2-Phase Pilot Prospective Single-Center Observational Study

Celia Alvarez-Romero, Alejandro Polo-Molina, Eugenio F. Sánchez‐Úbeda et al.

2024 · 0 Zit.

Automated Classification of Ischemic Stroke Subtypes from Electronic Health Records Using Large Language Models

Alejandro Rodriguez Vasquez, Cristina Rubio-Escudero, Germán Antonio Escobar-Rodríguez

2026 · 0 Zit.