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Editorial
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Highlights the methodological limitations of current AI-enabled decision support tools in surgery and calls for improved scientific rigor.
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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Loftus et al. (2023) studied this question.
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