Duke Institute for Health Innovation
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Do no harm: a roadmap for responsible machine learning for health care
Jenna Wiens, Suchi Saria, Mark Sendak et al.
2019 · 895 Zit.
Real-World Integration of a Sepsis Deep Learning Technology Into Routine Clinical Care: Implementation Study
Mark Sendak, William Ratliff, Dina Sarro et al.
2019 · 201 Zit.
Presenting machine learning model information to clinical end users with model facts labels
Mark Sendak, Michael Gao, Nathan Brajer et al.
2020 · 199 Zit.
"The human body is a black box"
Mark Sendak, Madeleine Clare Elish, Michael Gao et al.
2020 · 166 Zit.
Integrating a Machine Learning System Into Clinical Workflows: Qualitative Study
Sahil Sandhu, Anthony Lin, Nathan Brajer et al.
2020 · 145 Zit.
A Path for Translation of Machine Learning Products into Healthcare Delivery
Mark Sendak, Joshua D’Arcy, Sehj Kashyap et al.
2020 · 136 Zit.
ChatGPT: promise and challenges for deployment in low- and middle-income countries
Xiaofei Wang, Hayley M. Sanders, Yuchen Liu et al.
2023 · 125 Zit.
The potential for artificial intelligence to transform healthcare: perspectives from international health leaders
Christina Silcox, Eyal Zimlichmann, Katie Huber et al.
2024 · 97 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.
Machine Learning in Health Care: A Critical Appraisal of Challenges and Opportunities
Mark Sendak, Michael Gao, Marshall Nichols et al.
2019 · 78 Zit.
Organizational Governance of Emerging Technologies: AI Adoption in Healthcare
Jee Young Kim, William Boag, Freya Gulamali et al.
2023 · 40 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.
Advancing primary care with Artificial Intelligence and Machine Learning
Zhou Yang, Christina Silcox, Mark Sendak et al.
2021 · 38 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.
Evaluating the performance of artificial intelligence-based speech recognition for clinical documentation: a systematic review
Johan Y. Y. Ng, Eugene Wang, Xinyan Zhou et al.
2025 · 31 Zit.