Der digitale Operationssaal
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00104-024-02058-1.pdf
Reference20 articles.
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2. Barash Y, Klang E, Lux A et al (2022) Artificial intelligence for identification of focal lesions in intraoperative liver ultrasonography. Langenbecks Arch Surg 407:3553–3560. https://doi.org/10.1007/s00423-022-02674-7
3. Birkmeyer JD, Finks JF, O’Reilly A et al (2013) Surgical skill and complication rates after bariatric surgery. N Engl J Med 369:1434–1442. https://doi.org/10.1056/NEJMsa1300625
4. Brandenburg JM, Jenke AC, Stern A et al (2023) Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study. Surg Endosc 37:8577–8593. https://doi.org/10.1007/s00464-023-10447-6
5. Chalopin C, Nickel F, Pfahl A et al (2022) Künstliche Intelligenz und hyperspektrale Bildgebung zur bildgestützten Assistenz in der minimal-invasiven Chirurgie. Chir 93:940–947. https://doi.org/10.1007/s00104-022-01677-w
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