Center for Systems Biology
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Algorithmic fairness in artificial intelligence for medicine and healthcare
Richard J. Chen, Judy J. Wang, Drew F. K. Williamson et al.
2023 · 483 Zit.
National Cancer Institute Imaging Data Commons: Toward Transparency, Reproducibility, and Scalability in Imaging Artificial Intelligence
Andriy Fedorov, William J.R. Longabaugh, David Pot et al.
2023 · 29 Zit.
Generative AI chatbots for reliable cancer information: Evaluating web-search, multilingual, and reference capabilities of emerging large language models
Bradley D. Menz, Natansh D. Modi, Ahmad Y. Abuhelwa et al.
2025 · 23 Zit.
Prediction of operative mortality for patients undergoing cardiac surgical procedures without established risk scores
Chin Siang Ong, Erik Reinertsen, Haoqi Sun et al.
2021 · 22 Zit.
Deep Learning to Predict Mortality After Cardiothoracic Surgery Using Preoperative Chest Radiographs
Vineet K. Raghu, Philicia Moonsamy, Thoralf M. Sundt et al.
2022 · 16 Zit.
A Conference-Friendly, Hands-on Introduction to Deep Learning for Radiology Trainees
Walter F. Wiggins, M. Travis Caton, Kirti Magudia et al.
2021 · 14 Zit.
Large language models can effectively extract stroke and reperfusion audit data from medical free-text discharge summaries
Rudy Goh, Benjamin K. Cook, Brandon Stretton et al.
2024 · 14 Zit.
Publisher Correction: Scientific discovery in the age of artificial intelligence
Hanchen Wang, Tianfan Fu, Yuanqi Du et al.
2023 · 12 Zit.
Toward trustable use of machine learning models of variant effects in the clinic
Mafalda Dias, Rose Orenbuch, Debora S. Marks et al.
2024 · 9 Zit.
The Triage and Diagnostic Accuracy of Frontier Large Language Models: Updated Comparison to Physician Performance
Michael J. Sorich, Arduino A. Mangoni, Stephen Bacchi et al.
2024 · 8 Zit.
The cost effectiveness of a radiation therapy simulator: A model for the determination of need
Anatoly Dritschilo, David Μ. Sherman, Bahman Emami et al.
1979 · 6 Zit.
Generative AI’s healthcare professional role creep: a cross-sectional evaluation of publicly accessible, customised health-related GPTs
Benjamin Chu, Natansh D. Modi, Bradley D. Menz et al.
2025 · 5 Zit.
AI-Driven Avatars in Medical Training
Fernando Salvetti, Barbara Bertagni, Ianna Contardo et al.
2025 · 2 Zit.
Efficacy and safety of erythropoietin for traumatic brain injury: a meta-analysis of randomized controlled trials
Motao Liu, Amy J. Wang, Gexin Zhao et al.
2019 · 1 Zit.
Transformer-based artificial intelligence on single-cell clinical data for homeostatic mechanism inference and rational biomarker discovery
Veronica Tozzo, Lily Zhang, Rajesh Ranganath et al.
2025 · 1 Zit.