Technische Universität Dresden
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The future landscape of large language models in medicine
Jan Clusmann, Fiona R. Kolbinger, Hannah Sophie Muti et al.
2023 · 875 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 · 389 Zit.
Metrics reloaded: recommendations for image analysis validation
Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.
2024 · 352 Zit.
Large language model AI chatbots require approval as medical devices
Stephen Gilbert, Hugh Harvey, Tom Melvin et al.
2023 · 190 Zit.
A guide to artificial intelligence for cancer researchers
Raquel Pérez-López, Narmin Ghaffari Laleh, Faisal Mahmood et al.
2024 · 167 Zit.
Artificial intelligence and increasing misinformation
Scott Monteith, Tasha Glenn, John Geddes et al.
2023 · 154 Zit.
Dermatologist-like explainable AI enhances trust and confidence in diagnosing melanoma
Tirtha Chanda, Katja Hauser, Sarah Hobelsberger et al.
2024 · 129 Zit.
Reporting guidelines in medical artificial intelligence: a systematic review and meta-analysis
Fiona R. Kolbinger, Gregory Patrick Veldhuizen, Jiefu Zhu et al.
2024 · 112 Zit.
A future role for health applications of large language models depends on regulators enforcing safety standards
Oscar Freyer, Isabella C. Wiest, Jakob Nikolas Kather et al.
2024 · 111 Zit.
Adversarial attacks and adversarial robustness in computational pathology
Narmin Ghaffari Laleh, Daniel Truhn, Gregory Patrick Veldhuizen et al.
2022 · 105 Zit.
Reinforcement Learning for Precision Oncology
Jan‐Niklas Eckardt, Karsten Wendt, Martin Bornhäuser et al.
2021 · 82 Zit.
A Delphi consensus statement for digital surgery
Kyle Lam, Michael D. Abràmoff, José M. Balibrea et al.
2022 · 80 Zit.
Artificial Intelligence-Assisted Surgery: Potential and Challenges
Sebastian Bodenstedt, Martin Wagner, Beat P. Müller‐Stich et al.
2020 · 77 Zit.
New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology
Bouchra Derraz, Gabrièle Bréda, C. Kaempf et al.
2024 · 73 Zit.
Algorithm Change Protocols in the Regulation of Adaptive Machine Learning–Based Medical Devices
Stephen Gilbert, Matthew Fenech, Martin C. Hirsch et al.
2021 · 72 Zit.