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Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Assessing and Mitigating Bias in Medical Artificial Intelligence
Peter A. Noseworthy, Zachi I. Attia, LaPrincess C. Brewer et al.
2020 · 208 Zit.
Performance of Generative Large Language Models on Ophthalmology Board–Style Questions
Louis Cai, Abdulla Shaheen, Andrew Jin et al.
2023 · 132 Zit.
Foundation Models in Radiology: What, How, Why, and Why Not
Magdalini Paschali, Zhihong Chen, Louis Blankemeier et al.
2025 · 63 Zit.
Machine learning without borders? An adaptable tool to optimize mortality prediction in diverse clinical settings
S. Ariane Christie, Alan Hubbard, Rachael A. Callcut et al.
2018 · 30 Zit.
Assessing the Potential of a Deep Learning Tool to Improve Fracture Detection by Radiologists and Emergency Physicians on Extremity Radiographs
Tianyuan Fu, Vidya Sankar Viswanathan, Alexandre Attia et al.
2023 · 19 Zit.
1231: PREDICTING EXTUBATION READINESS IN PEDIATRIC INTENSIVE CARE PATIENTS WITH RECURRENT NEURAL NETWORKS
Vi Lam, Laura Pruitt, Cameron Carlin et al.
2018 · 0 Zit.
Abstract No. 454 Crowd-sourced assessment of interventional radiology technical skill: a method to guide future training of interventional radiologists
Daryl Goldman, J. Martín, Timothy Carlon et al.
2020 · 0 Zit.