Emory Healthcare
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Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The Effects of Recombinant Human Erythropoietin on Perioperative Transfusion Requirements in Patients Having a Major Orthopaedic Operation*
Philip M. Faris, Merrill A. Ritter, Robert Abels
1996 · 251 Zit.
Artificial intelligence from A to Z: From neural network to legal framework
Marly van Assen, Scott Lee, Carlo N. De Cecco
2020 · 61 Zit.
Bits and bytes: the future of radiology lies in informatics and information technology
James A. Brink, Ronald L. Arenson, Thomas M. Grist et al.
2017 · 60 Zit.
The Future of Critical Care: Optimizing Technologies and a Learning Healthcare System to Potentiate a More Humanistic Approach to Critical Care
Heather Meissen, Michelle N. Gong, An-Kwok Ian Wong et al.
2022 · 40 Zit.
Ambient Documentation Technology in Clinician Experience of Documentation Burden and Burnout
Jacqueline Guan-Ting You, Reema H. Dbouk, Adam Landman et al.
2025 · 33 Zit.
Info-RADS: Adding a Message for Patients in Radiology Reports
Nadja Kadom, Susan Tamasi, Brianna L. Vey et al.
2020 · 20 Zit.
Implications of Bias in Artificial Intelligence: Considerations for Cardiovascular Imaging
Marly van Assen, Ashley Beecy, Gabrielle Gershon et al.
2024 · 18 Zit.
An Ethics Framework for Clinical Imaging Data Sharing and the Greater Good
Elizabeth A. Krupinski
2020 · 17 Zit.
Novel Quality Measure Set: Closing the Completion Loop on Radiology Follow-up Recommendations for Noncritical Actionable Incidental Findings
Nadja Kadom, Arjun K. Venkatesh, Samantha Shugarman et al.
2022 · 15 Zit.
Artificial intelligence research within reach: an object detection model to identify rickets on pediatric wrist radiographs
Karthik Meda, Sarah Sarvis Milla, Bradley S. Rostad
2021 · 15 Zit.
Evaluating AI Clinically—It’s Not Just ROC AUC!
Elizabeth A. Krupinski
2020 · 12 Zit.
Checklist for Reproducibility of Deep Learning in Medical Imaging
Mana Moassefi, Yashbir Singh, Gian Marco Conte et al.
2024 · 10 Zit.
Reducing STAT Portable Chest Radiograph Turnaround Times: A Pilot Study
Pratik Rachh, Alexa O. Levey, Andrew B. Lemmon et al.
2017 · 10 Zit.
COVID-19 pneumonia chest radiographic severity score: variability assessment among experienced and in-training radiologists and creation of a multireader composite score database for artificial intelligence algorithm development
Marly van Assen, Mohammadreza Zandehshahvar, Hossein Maleki et al.
2022 · 10 Zit.
AI in Action: A Road Map From the Radiology AI Council for Effective Model Evaluation and Deployment
Hari Trivedi, Bardia Khosravi, Judy Wawira Gichoya et al.
2025 · 8 Zit.