AI Shows Promise for Intraoperative Lung Adenocarcinoma Assessment - Takeaways - MDSpire

AI Shows Promise for Intraoperative Lung Adenocarcinoma Assessment

  • By

  • Andrea Surnit

  • May 29, 2026

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  • 1

    SuRImage, an AI model, was evaluated in a multicenter study using smartphone photos of lung specimens for intraoperative assessment.

  • 2

    The model demonstrated moderate-to-good discrimination in diagnostic tasks and outperformed frozen section analysis in predefined comparisons.

  • 3

    SuRImage achieved high sensitivity and specificity, with 97% sensitivity and 92% specificity for binary identification of invasive lung adenocarcinoma.

  • 4

    The study included 1,727 patients and 2,910 surgical resection images, focusing on clinical stage IA lung adenocarcinoma.

  • 5

    SuRImage's performance varied across subgroups, particularly showing lower discrimination for grade 1 invasive adenocarcinoma.

Original Source(s)

AI Shows Promise for Intraoperative Lung Adenocarcinoma Assessment

  • by Andrea Surnit

  • May 29, 2026

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