Champalimaud Foundation

FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras et al.

2025 · 300 Zit.

Artificial intelligence and machine learning in cancer imaging

Dow‐Mu Koh, Nickolas Papanikolaou, Ulrich Bick et al.

2022 · 297 Zit.

METhodological RadiomICs Score (METRICS): a quality scoring tool for radiomics research endorsed by EuSoMII

Burak Koçak, Tugba Akinci D’Antonoli, Nathaniel D. Mercaldo et al.

2024 · 259 Zit.

Bias in artificial intelligence for medical imaging: fundamentals, detection, avoidance, mitigation, challenges, ethics, and prospects

Burak Koçak, Andrea Ponsiglione, Arnaldo Stanzione et al.

2024 · 127 Zit.

Recommendations for the creation of benchmark datasets for reproducible artificial intelligence in radiology

Nikos Sourlos, Rozemarijn Vliegenthart, João Santinha et al.

2024 · 32 Zit.

Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient’s satisfaction with therapy: The CINDERELLA trial

Orit Kaidar‐Person, Marília Antunes, Jaime S. Cardoso et al.

2023 · 24 Zit.

Empowering cancer research in Europe: the EUCAIM cancer imaging infrastructure

Luis Martí‐Bonmatí, Ignácio Blanquer, Manolis Tsiknakis et al.

2025 · 21 Zit.

AI and human interactions in prostate cancer diagnosis using MRI

Anwar R. Padhani, Nickolas Papanikolaou

2025 · 12 Zit.

Artificial intelligence (AI) in breast cancer care - leveraging multidisciplinary skills to improve care

Maria João Cardoso, Nehmat Houssami, Giuseppe Pozzi et al.

2021 · 11 Zit.

Artificial intelligence (AI) in breast cancer care - Leveraging multidisciplinary skills to improve care

Maria João Cardoso, Nehmat Houssami, Giuseppe Pozzi et al.

2020 · 10 Zit.

Foundation models for radiology—the position of the AI for Health Imaging (AI4HI) network

José Guilherme de Almeida, L. Cerdá Alberich, Gianna Tsakou et al.

2025 · 10 Zit.

Differences in technical and clinical perspectives on AI validation in cancer imaging: mind the gap!

Ioanna Chouvarda, Sara Colantonio, Ana Sofia Castro Verde et al.

2025 · 9 Zit.

Medical machine learning operations: a framework to facilitate clinical AI development and deployment in radiology

José Guilherme de Almeida, Christina Messiou, Samuel J. Withey et al.

2025 · 9 Zit.

Deep Learning Features Can Improve Radiomics-Based Prostate Cancer Aggressiveness Prediction

Nuno M. Rodrigues, José Guilherme de Almeida, Ana Rodrigues et al.

2024 · 5 Zit.

AI Model Passport: Data and system traceability framework for transparent AI in health

Varvara Kalokyri, Nikolaos S. Tachos, Charalampos Kalantzopoulos et al.

2025 · 5 Zit.