Instituto de Biomedicina de Sevilla
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Three-dimensional printed models for surgical planning of complex congenital heart defects: an international multicentre study
Israel Valverde, Gorka Gómez, Tarique Hussain et al.
2017 · 270 Zit.
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 · 81 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.
Ensemble machine learning methods in screening electronic health records: A scoping review
Christophe Stevens, Alexander R.M. Lyons, Kanika Dharmayat et al.
2023 · 15 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, Carlos Romero et al.
2025 · 6 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.
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.
Desiderata for discoverability and FAIR adoption of health data hubs
Celia Alvarez-Romero, Máximo Bernabéu-Wittel, Carlos Luís Parra-Calderón et al.
2024 · 2 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 · 1 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.
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.