Hospital Universitario Son Espases
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Improving the Efficacy of ACR TI-RADS Through Deep Learning-Based Descriptor Augmentation
Lev Barinov, Ajit Jairaj, William D. Middleton et al.
2023 · 17 Zit.
Biobanking, digital health and privacy: the choices of 1410 volunteers and neurological patients regarding limitations on use of data and biological samples, return of results and sharing
Emilia Giannella, Josep Miquel Bauçà, Simona Gabriella Di Santo et al.
2024 · 7 Zit.
Predicting Chronic Kidney Disease in Type 2 Diabetes Using Natural Language Processing on Healthcare Data
Juan F. Navarro‐González, Leopoldo Pérez de Isla, Gloria Cánovas Molina et al.
2025 · 2 Zit.
Integrating Artificial Intelligence in Thyroid Nodule Management: Clinical Outcomes and Cost-effectiveness Analysis
Javier Bodoque Cubas, José Fernández‐Sáez, Sergio Martínez‐Hervás et al.
2025 · 2 Zit.
Digital Health, Data Science and Privacy: The Choices of 1410 Volunteers and Neurological Patients Regarding Limitations on Use of Data and Biological Samples, Return of Results, and Transfer
Emilia Giannella, Josep Miquel Bauçà, Simona Gabriella Di Santo et al.
2024 · 1 Zit.
Human epidermal growth factor receptor 2 (HER2) expression dynamics between diagnosis and recurrence in patients with breast cancer using artificial intelligence and electronic health records: the RosHER study
Elena López-Miranda, P. Tolosa-Ortega, M.A. Perelló-Martorell et al.
2025 · 1 Zit.
IMPACTO DE LA INTELIGENCIA ARTIFICIAL EN LA PRÁCTICA CLÍNICA EN CIRUGÍA.
Alessandro Bianchi
2025 · 0 Zit.
A rubric‑based comparison of code red and specialists in managing CAR‑T–Related cytokine release syndrome and icans
Leyre Bento De Miguel, Núria Martínez‐Cibrián, Anabelle Chinea et al.
2025 · 0 Zit.
Prevalence, incidence, and outcomes of multiple myeloma patients using electronic health records and natural language processing
María‐Victoria Mateos, Roberto Trelles, Fernando Escalante Barrigón et al.
2025 · 0 Zit.
2815P Explainable AI model for cancer prognosis using weighted analysis of patient-reported outcomes (PROs)
Elena Nunez Berrueco, Leonardo D. Garma, S. Pernas Simon et al.
2025 · 0 Zit.