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Artificial Intelligence–enabled Decision Support in Surgery
55
Zitationen
13
Autoren
2023
Jahr
Abstract
Artificial intelligence-enabled decision support in surgery is limited by reliance on internal validation, small sample sizes that risk overfitting and sacrifice predictive performance, and failure to report confidence intervals, precision, equity analyses, and clinical implementation. Researchers should strive to improve scientific quality.
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Autoren
Institutionen
- American College of Surgeons(US)
- University of Florida Health(US)
- University of Pennsylvania(US)
- Stanford University(US)
- Harvard University(US)
- Hadassah Medical Center(IL)
- Holyoke Community College(US)
- Medical University of South Carolina(US)
- Intuitive Surgical (United States)(US)
- Vanderbilt University Medical Center(US)
- University of Kentucky(US)
- University of Minnesota(US)
- Institute for Medical Informatics and Biostatistics(CH)