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Artificial intelligence assisted display in thoracic surgery: development and possibilities

Chen, Zhuxing, Zhang, Yudong, Yan, Zeping, Dong, Junguo, Cai, Weipeng, Ma, Yongfu, Jiang, Jipeng, Dai, Keyao +2 more·2021·Journal of Thoracic Disease
DOI 10.21037/jtd-21-1240PMC PMC8743398
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  • Intraoperative AI applications such as augmented reality, real-time image-guided navigation, and robotic-assisted thoracic surgery have demonstrated increased surgical precision, reduced operative times, and enhanced safety.

    “Intraoperatively, AI applications such as augmented reality (AR), real-time image-guided navigation, and robotic-assisted thoracic surgery (RATS) have demonstrated increased surgical precision, reduced operative times, and enhanced safety [7,8,9].”

    From Artificial Intelligence in Oncologic Thoracic Surgery: Clinical Decision Support and Emerging Applications (2026) · cites this paper as [9]

    The “3D reconstruction/3D printing technology” section reports that intraoperative navigation with 3D-VATS reduces operational difficulty, blood loss, and length of operation. The “AR technology” section describes AR’s value for lesion navigation. The paper does not establish those outcomes for the full set of applications named in the claim, particularly robotic-assisted thoracic surgery, and describes video-based AI assistance as still in its infancy (Commentary and conclusions). (LLM, conf=0.87)

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Cited by

Sorted by citations

Authors
Chen, Z., Zhang, Y., Yan, Z., Dong, J., Cai, W., Ma, Y., Jiang, J., Dai, K., Liang, H., & He, J.
Venue
Journal of Thoracic Disease
Publisher
AME Publishing Company
Published
2021-12
Volume
13
Issue
12
Pages
6994-7005
ISSN
  • 2072-1439
  • 2077-6624
DOI
10.21037/jtd-21-1240
PMC
PMC8743398
Cited by
21
References
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