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External Validation of an Ensemble Model for Automated Mammography Interpretation by Artificial Intelligence
45
Zitationen
15
Autoren
2022
Jahr
Abstract
This study found that the high performance of an ensemble deep-learning model for automated screening mammography interpretation did not generalize to a more diverse screening cohort, suggesting that the model experienced underspecification. This study suggests the need for model transparency and fine-tuning of AI models for specific target populations prior to their clinical adoption.
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Autoren
Institutionen
- University of California, Los Angeles(US)
- Fred Hutch Cancer Center(US)
- University of Illinois Urbana-Champaign(US)
- Southern California Clinical and Translational Science Institute(US)
- Kaiser Permanente Washington Health Research Institute(US)
- Sage Bionetworks(US)
- Tempus Labs (United States)(US)
- University of Washington(US)