Vall d'Hebron Institute of Oncology

A guide to artificial intelligence for cancer researchers

Raquel Pérez-López, Narmin Ghaffari Laleh, Faisal Mahmood et al.

2024 · 165 Zit.

A framework for artificial intelligence in cancer research and precision oncology

Raquel Pérez-López, Jorge S. Reis‐Filho, Jakob Nikolas Kather

2023 · 19 Zit.

The barriers to uptake of artificial intelligence in hepatology and how to overcome them

Jan Clusmann, Maria Balaguer‐Montero, Octavi Bassegoda et al.

2025 · 13 Zit.

Real-world radiology data for artificial intelligence-driven cancer support systems and biomarker development

Daniel Navarro-Garcia, Alberto Villanueva Marcos, Regina G. H. Beets‐Tan et al.

2025 · 7 Zit.

Swarm learning with weak supervision enables automatic breast cancer detection in magnetic resonance imaging

Oliver Lester Saldanha, Jiefu Zhu, Gustav Müller‐Franzes et al.

2025 · 6 Zit.

Assessment of Artificial Intelligence Language Models and Information Retrieval Strategies for QA in Hematology

Maria R Cervera, David Bermejo-Peláez, Miguel Gómez-Álvarez et al.

2023 · 2 Zit.

The UpSMART Accelerator: driving digital innovation to change the conduct of early phase cancer medicine trials

Fouziah Butt, Stephenson Laura, Luca Agnelli et al.

2022 · 1 Zit.

Collaborative framework on responsible AI in LLM-driven CDSS for precision oncology leveraging real-world patient data

Sonja Mathes, Dyke Ferber, Tobias Dreyer et al.

2025 · 0 Zit.

From algorithms to meaningful biomarkers: anchoring AI in clinical oncology

E.G.E. de Vries, E. Garralda, S. Litière

2026 · 0 Zit.

AI assistance in tumor multidisciplinary teams

R.J. Geukes Foppen, M. Morkūnas, A. Traverso et al.

2026 · 0 Zit.