A multi-stage Delphi consensus with 92 experts catalogs widespread validation pitfalls in surgical AI video analysis across data, metrics, and reporting, supported by a systematic review and empirical experiments.
Improving temporal stability and accuracy for endoscopic video tissue classification using recurrent neural networks.Sensors, 20(15):4133
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Current validation practice undermines surgical AI development
A multi-stage Delphi consensus with 92 experts catalogs widespread validation pitfalls in surgical AI video analysis across data, metrics, and reporting, supported by a systematic review and empirical experiments.