National Center for Tumor Diseases

The future landscape of large language models in medicine

Jan Clusmann, Fiona R. Kolbinger, Hannah Sophie Muti et al.

2023 · 907 Zit.

Swarm Learning for decentralized and confidential clinical machine learning

Stefanie Warnat‐Herresthal, Hartmut Schultze, Krishnaprasad Lingadahalli Shastry et al.

2021 · 821 Zit.

Surgical data science for next-generation interventions

Lena Maier‐Hein, S. Swaroop Vedula, Stefanie Speidel et al.

2017 · 515 Zit.

CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

Burak Koçak, Bettina Baeßler, Spyridon Bakas et al.

2023 · 402 Zit.

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 372 Zit.

Why rankings of biomedical image analysis competitions should be interpreted with care

Lena Maier‐Hein, Matthias Eisenmann, Annika Reinke et al.

2018 · 359 Zit.

Surgical data science – from concepts toward clinical translation

Lena Maier‐Hein, Matthias Eisenmann, Duygu Sarıkaya et al.

2022 · 320 Zit.

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

Karel G.M. Moons, Johanna AAG Damen, T. K. Kaul et al.

2025 · 286 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 · 255 Zit.

Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts

Sarah Haggenmüller, Roman C. Maron, Achim Hekler et al.

2021 · 241 Zit.

Artificial Intelligence in Skin Cancer Diagnostics: The Patients' Perspective

Tanja Jutzi, Eva Krieghoff‐Henning, Tim Holland‐Letz et al.

2020 · 187 Zit.

Current applications and challenges in large language models for patient care: a systematic review

Felix Busch, Lena Hoffmann, Christopher Rueger et al.

2025 · 186 Zit.

A guide to artificial intelligence for cancer researchers

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

2024 · 172 Zit.

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.

2024 · 164 Zit.

Comparing artificial intelligence algorithms to 157 German dermatologists: the melanoma classification benchmark

Titus J. Brinker, Achim Hekler, Axel Hauschild et al.

2019 · 153 Zit.