Imaging Center
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potential
Qing Lyu, Josh Tan, Michael E. Zapadka et al.
2023 · 326 Zit.
Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy study
Lauren Oakden‐Rayner, William A. Gale, Thomas A. Bonham et al.
2022 · 84 Zit.
Artificial Intelligence Literacy: Developing a Multi-institutional Infrastructure for AI Education
Jordan D. Perchik, Andrew D. Smith, Asser Abou Elkassem et al.
2022 · 64 Zit.
Emerging ethical issues raised by highly portable MRI research in remote and resource-limited international settings
Francis X. Shen, Susan M. Wolf, Supriya Bhavnani et al.
2021 · 61 Zit.
Radiology “forensics”: determination of age and sex from chest radiographs using deep learning
Paul H. Yi, Jinchi Wei, Tae Kyung Kim et al.
2021 · 37 Zit.
Rethinking the Approach to Artificial Intelligence for Medical Image Analysis: The Case for Precision Diagnosis
James H. Thrall, David Fessell, Pari V. Pandharipande
2021 · 31 Zit.
Exploring the Clinical Translation of Generative Models Like ChatGPT: Promise and Pitfalls in Radiology, From Patients to Population Health
Florence X. Doo, Tessa S. Cook, Eliot L. Siegel et al.
2023 · 27 Zit.
Keeping Patient Data Secure in the Age of Radiology Artificial Intelligence: Cybersecurity Considerations and Future Directions
Chintan Shah, Douglas Nachand, Christoph Wald et al.
2023 · 24 Zit.
Building Diversity, Equity, and Inclusion Within Radiology Artificial Intelligence: Representation Matters, From Data to the Workforce
Florence X. Doo, Geraldine McGinty
2023 · 20 Zit.
Deep Learning Algorithms for Interpretation of Upper Extremity Radiographs: Laterality and Technologist Initial Labels as Confounding Factors
Paul H. Yi, Patrick S. Malone, Cheng Ting Lin et al.
2021 · 13 Zit.
Machine Learning Applied to Support Medical Decision in Transthoracic Echocardiogram Exams: A Systematic Review
Vilson Soares de Siqueira, Diego de Castro Rodrigues, Colandy Nunes Dourado et al.
2020 · 9 Zit.
Artificial intelligence as a prediction tool for orthognathic surgery assessment
Pedro Henrique José de Oliveira, Tengfei Li, Haoyue Li et al.
2024 · 6 Zit.
Evaluating the Diversity and Representation of Artificial Intelligence–Generated Images of Radiologists: An Observational Study
Ifeanyi Onuh, Paul H. Yi, Molinna Bui et al.
2024 · 5 Zit.
Computational medicine: A cybernetic eye for rare disease
Qian Wang, Dinggang Shen
2017 · 5 Zit.
Deciphering musculoskeletal artificial intelligence for clinical applications: how do I get started?
Simukayi Mutasa, Paul H. Yi
2021 · 4 Zit.