This research aims to evaluate the accuracy and reproducibility of tumor size measurements using a deep-learning clinical decision support system (CDSS) in lung cancer.
Conducted as a real-world multicenter study.
Utilized a deep-learning based clinical decision support system (CDSS) for measurement.
Analyzed tumor size in resected lung cancer samples.
The CDSS provided consistent tumor size measurements across different centers.
Measurements were objective, supporting standardization of assessments.
Abstract
This real-world multicenter study demonstrates that the CDSS provides consistent and objective tumor size measurements, supporting its potential utility in standardizing preoperative lung cancer assessment.