National Cancer Institute
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The Medical Segmentation Decathlon
Michela Antonelli, Annika Reinke, Spyridon Bakas et al.
2022 · 1.111 Zit.
Federated learning for predicting clinical outcomes in patients with COVID-19
Ittai Dayan, Holger R. Roth, Aoxiao Zhong et al.
2021 · 658 Zit.
The Lancet Commission on diagnostics: transforming access to diagnostics
K A Fleming, Susan Horton, Michael L. Wilson et al.
2021 · 395 Zit.
Metrics reloaded: recommendations for image analysis validation
Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.
2024 · 344 Zit.
Machine intelligence in healthcare—perspectives on trustworthiness, explainability, usability, and transparency
Christine M. Cutillo, Karlie R. Sharma, Luca Foschini et al.
2020 · 306 Zit.
The National Institutes of Health's Big Data to Knowledge (BD2K) initiative: capitalizing on biomedical big data
Ron Margolis, Leslie Derr, Michelle Dunn et al.
2014 · 279 Zit.
Federated learning improves site performance in multicenter deep learning without data sharing
Karthik V. Sarma, Stephanie A. Harmon, Thomas Sanford et al.
2020 · 220 Zit.
Digital twins for predictive oncology will be a paradigm shift for precision cancer care
Tina Hernandez‐Boussard, Paul Macklin, Emily J. Greenspan et al.
2021 · 193 Zit.
Understanding metric-related pitfalls in image analysis validation
Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.
2024 · 154 Zit.
Applications of large language models in cancer care: current evidence and future perspectives
Giovanni Maria Iannantuono, Dara Bracken‐Clarke, Charalampos S. Floudas et al.
2023 · 106 Zit.
Interventional Radiology ex-machina: impact of Artificial Intelligence on practice
Martina Gurgitano, Salvatore Alessio Angileri, Giovanni Maria Rodà et al.
2021 · 97 Zit.
Comparative Evaluation of LLMs in Clinical Oncology
Nicholas R. Rydzewski, Deepak Dinakaran, Shuang G. Zhao et al.
2024 · 89 Zit.
AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging
Lubomir M. Hadjiiski, H. Kenny, Heang‐Ping Chan et al.
2022 · 85 Zit.
Evaluating the performance of Generative Pre-trained Transformer-4 (GPT-4) in standardizing radiology reports
A Hasani, Shiva M. Singh, Aryan Zahergivar et al.
2023 · 76 Zit.
Outpatient reception via collaboration between nurses and a large language model: a randomized controlled trial
Peixing Wan, Zigeng Huang, Wenjun Tang et al.
2024 · 67 Zit.