Duke University Health System
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
A Nationwide Network of Health AI Assurance Laboratories
Nigam H. Shah, John Halamka, Suchi Saria et al.
2023 · 98 Zit.
A framework for the oversight and local deployment of safe and high-quality prediction models
Armando Bedoya, Nicoleta Economou-Zavlanos, Benjamin A. Goldstein et al.
2022 · 93 Zit.
Artificial Intelligence and Echocardiography: A Primer for Cardiac Sonographers
Ashlee Davis, Kristen Billick, Kenneth Horton et al.
2020 · 93 Zit.
Overcoming barriers to the adoption and implementation of predictive modeling and machine learning in clinical care: what can we learn from US academic medical centers?
Joshua Watson, Carolyn A. Hutyra, Shayna M. Clancy et al.
2020 · 92 Zit.
On the Opportunities and Risks of Foundation Models for Natural Language Processing in Radiology
Walter F. Wiggins, Ali S. Tejani
2022 · 59 Zit.
Adoption of artificial intelligence in healthcare: survey of health system priorities, successes, and challenges
Eric G. Poon, Christy Harris Lemak, J.C. Rojas et al.
2025 · 49 Zit.
Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare
Nicoleta Economou-Zavlanos, Sophia Bessias, Michael P. Cary et al.
2023 · 40 Zit.
Development and preliminary testing of Health Equity Across the AI Lifecycle (HEAAL): A framework for healthcare delivery organizations to mitigate the risk of AI solutions worsening health inequities
Jee Young Kim, Alifia Hasan, Katherine C. Kellogg et al.
2024 · 37 Zit.
Advancing Health Equity Through Artificial Intelligence: An Educational Framework for Preparing Nurses in Clinical Practice and Research
Michael P. Cary, Jennie C. De Gagné, Elaine Kauschinger et al.
2024 · 26 Zit.
Translating AI for the Clinician
Manesh R. Patel, Suresh Balu, Michael Pencina
2024 · 24 Zit.
Recommendations for Performance Evaluation of Machine Learning in Pathology: A Concept Paper From the College of American Pathologists
Matthew G. Hanna, Niels Olson, Mark D. Zarella et al.
2023 · 23 Zit.
Integrating the Health-care Enterprise Pathology and Laboratory Medicine Guideline for Digital Pathology Interoperability
Rajesh Dash, Nicholas C. Jones, Riki Merrick et al.
2021 · 22 Zit.
Empowering nurses to champion Health equity & BE FAIR: Bias elimination for fair and responsible AI in healthcare
Michael P. Cary, Sophia Bessias, Jonathan McCall et al.
2024 · 20 Zit.
Artificial Intelligence and Machine Learning in Cardiology
R. Jeffrey Westcott, James E. Tcheng
2019 · 20 Zit.
Natural Language Processing of Radiology Text Reports: Interactive Text Classification
Walter F. Wiggins, Felipe Kitamura, Igor Santos et al.
2021 · 18 Zit.