Flatiron Health (United States)
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Considerations for the Use of Machine Learning Extracted Real-World Data to Support Evidence Generation: A Research-Centric Evaluation Framework
Melissa Estévez, Corey M. Benedum, Chengsheng Jiang et al.
2022 · 24 Zit.
Automated Electronic Health Record–Based Tool for Identification of Patients With Metastatic Disease to Facilitate Clinical Trial Patient Ascertainment
Jeffrey J. Kirshner, Kelly Cohn, Steven Dunder et al.
2021 · 19 Zit.
A framework for evaluating clinical artificial intelligence systems without ground-truth annotations
Dani Kiyasseh, Aaron B. Cohen, Chengsheng Jiang et al.
2024 · 14 Zit.
Publisher Correction: Scientific discovery in the age of artificial intelligence
Hanchen Wang, Tianfan Fu, Yuanqi Du et al.
2023 · 12 Zit.
Approach to Machine Learning for Extraction of Real-World Data Variables from Electronic Health Records
Blythe Adamson, Michael Waskom, Auriane Blarre et al.
2023 · 8 Zit.
AI reflections in 2019
Alexander Rich, Cynthia Rudin, David Jacoby et al.
2020 · 6 Zit.
Practical Applications of the Internet of Things in Radiation Oncology
Nikhil G. Thaker, Brian De, Chirag Shah et al.
2022 · 3 Zit.
389P A framework for evaluating performance of LLM-based extraction from the electronic health record across different healthcare systems
Kathi Seidl-Rathkopf, Anna Schwarz, Natalia Viani et al.
2025 · 0 Zit.
MSR39 Assessing Bias in LLM-Extracted Real-World Data: A Health Equity Analysis of Access to Care and Outcomes in Metastatic Breast Cancer
Olive Mbah, Gene G. Ho, Catherine Keane et al.
2025 · 0 Zit.
386P Survival prediction in advanced NSCLC (aNSCLC) amid evolving standards of care (SOC): Digital twin modeling incorporating LLM-extracted clinical context
Melissa Estévez, Scott Griffith, T. Williams et al.
2025 · 0 Zit.
SUDO: a framework for evaluating clinical artificial intelligence systems without ground-truth annotations
Dani Kiyasseh, Aaron B. Cohen, Chengsheng Jiang et al.
2024 · 0 Zit.
393P Privacy-preserving error analysis loop for ML-based extraction of oncology EHR data
L. Groizard, Nikola Doležalová, Mark M. Kushnir et al.
2025 · 0 Zit.