This letter comments on the article that developed and tested a machine learning model that predicts lymphovascular invasion/perineural invasion status by combining clinical indications and spectral computed tomography characteristics accurately. We review the research content, methodology, conclusions, strengths and weaknesses of the study, and introduce follow-up research to this work.
Keywords: Gastric cancer; Lymphovascular invasion; Machine learning; Perineural invasion; Spectral computed tomography.
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