Donostiako Unibertsitate Ospitalea

Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression

Edward De Brouwer, Thijs Becker, Yves Moreau et al.

2021 · 41 Zit.

Application of ChatGPT as a support tool in the diagnosis and management of acute bacterial tonsillitis

Miguel Mayo‐Yáñez, Lucía González-Torres, Alberto Maria Saibene et al.

2024 · 11 Zit.

The legal regulation of artificial intelligence in the European Union: A practical guide for radiologists

Á. Morales Santos, S. Lojo Lendoiro, M. Rovira Cañellas et al.

2024 · 5 Zit.

The age of Artificial Intelligence in neurosurgical practice and educational paradigms – Considerations from the EANS Ethico-Legal and Young Neurosurgeons’ committees

Felix C. Stengel, Stefan Motov, Cesare Zoia et al.

2025 · 2 Zit.

Implementation of a card with instructions for patients treated for thyroid carcinoma with 131I

P. Mı́nguez, J Genollá, J.C. Fombellida

2012 · 2 Zit.

Ethical issues in neurosurgery – A scoping review from the EANS Ethico-legal committee

Emilia Westarp, Tim Jonas Hallenberger, Massimiliano Visocchi et al.

2026 · 1 Zit.

Critical Appraisal Tools for Evaluating Artificial Intelligence in Clinical Studies: Scoping Review

Juan B Cabello, Vicente Ruiz García, Miguel Torralba et al.

2025 · 0 Zit.

Head-Neck-Radiomics-HN1 data processed with Pyradiomics ready to use for data analysis

Oier Echaniz, Carlos M. Chiesa‐Estomba, Manuel Graña

2020 · 0 Zit.

Impact of Preoperative Anemia and Patient Blood Management Programs on Clinical Outcome: Multicenter Prospective Study Delpo-Anemia

Álvaro Tamayo-Velasco, Juan V. Llau, M.J. Colomina et al.

2025 · 0 Zit.

Head-Neck-Radiomics-HN1 data processed with Pyradiomics ready to use for data analysis

Oier Echaniz, Carlos M. Chiesa‐Estomba, Manuel Graña

2020 · 0 Zit.