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Related Experiment Video

Updated: May 16, 2026

Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality
07:46

Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality

Published on: August 9, 2024

Artificial Intelligence-Driven Three-Dimensional Reconstruction System Reduced Unexpected Procedural Changes in

Jiayi Geng1,2,3,4,5,6, Tian Guan1,2,3,4,5,6, Xiangyu Zeng1,2,3,4,5,6

  • 1Department of Thoracic Surgery, Peking University People's Hospital, Beijing, China.

Annals of Surgical Oncology
|May 14, 2026
PubMed
Summary

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This summary is machine-generated.

Artificial intelligence-driven 3D reconstruction (AI-3D) significantly improved surgical plan adherence in segmentectomy by reducing unexpected procedural changes. While enhancing surgical reliability, AI-3D did not significantly alter other intraoperative or postoperative outcomes compared to traditional 2D-CT.

Area of Science:

  • Thoracic Surgery
  • Surgical Planning
  • Medical Imaging

Background:

  • Preoperative planning is crucial for thoracic surgery outcomes.
  • Artificial intelligence-driven 3D reconstruction (AI-3D) systems offer advanced visualization for surgical planning.
  • The impact of AI-3D on surgical plan adherence and perioperative outcomes requires further investigation.

Purpose of the Study:

  • To evaluate the impact of AI-3D on the consistency between planned and actual surgical procedures.
  • To compare intraoperative and postoperative outcomes between AI-3D and traditional 2D-CT planning methods.

Main Methods:

  • Retrospective analysis of 1197 patients undergoing segmentectomy or lobectomy.
  • Comparison between AI-3D and 2D-CT groups, with propensity score-matching (PSM) applied.
Keywords:
Artificial intelligenceLobectomyProcedural changesSegmentectomyThree-dimension reconstruction

Related Experiment Videos

Last Updated: May 16, 2026

Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality
07:46

Automatic Surgery in Transcatheter Aortic Valve Replacement Using Augmented Reality

Published on: August 9, 2024

  • Primary endpoint: rate of unexpected procedural changes; secondary endpoints: operative time, blood loss, conversion rates, and postoperative complications.

    • Main Results:

    • AI-3D significantly increased consistency between planned and actual procedures in segmentectomy (97.3% vs 80.0%, P < 0.001) after PSM.
    • Tumor location and surgical margin factors were primary drivers of procedural changes.
    • Intraoperative and postoperative outcomes were comparable between AI-3D and 2D-CT groups.

    Conclusions:

    • AI-driven 3D reconstruction enhances surgical reliability by reducing unexpected procedural changes in segmentectomy.
    • AI-3D improves adherence to preoperative plans without negatively impacting other surgical outcomes.
    • Further research may explore AI-3D's role in optimizing complex thoracic procedures.