Artificial intelligence (AI) for minimally invasive robotics

Authors

  • Bogdan Maris University of Verona

DOI:

https://doi.org/10.54844/MR.2022.0386

References

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Fiorini P. Automation and Autonomy in Robotic Surgery. Gharagozloo F, Patel VR, Giulianotti PC, Poston R, Gruessner R, Meyer M. eds. Robotic Surgery. Springer; 2021.

Haidegger T, Speidel S, Stoyanov D, Satava R M. Robot-assisted minimally invasive surgery—Surgical robotics in the data age. Proc IEEE. 2022;110(7) 835–846. [DOI:10.1109/JPROC.2022.3180350]

Siepel FJ, Maris B, Welleweerd MK, et al. Needle and Biopsy Robots: A Review. Curr Robot Rep. 2021;2:73–84. [DOI:10.1007/s43154-020-00042-1]

Palladino L, Maris B, Antonelli A, Fiorini P. PROST-Net: A deep learning approach to support real-time fusion in prostate biopsy. Proc IEEE. 2022;4(2):323–326. [DOI:10.1109/TMRB.2022.3145667]

Maris B, Fiazza M-C, De Piccoli M, et al. Preclinical Validation of a Semi-Autonomous Robot for Transperineal Prostate Biopsy. Proc IEEE. 2022;4(2):311–322. [DOI:10.1109/TMRB.2022.3159737]

Gumbs AA, Perretta S, d’Allemagne B, Chouillard E. What is artificial intelligence surgery? Artificial Intelligence Surgery. 2021;1(1):1–10.

O'Sullivan S, Nevejans N, Allen C, et al. Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery. Int J Med Robot. 2019;15(1):e1968. [PMID:30397993 DOI:10.1002/rcs.1968.]

Wang Z, Majewicz Fey A. Deep learning with convolutional neural network for objective skill evaluation in robot-assisted surgery. Int J Comput Assist Radiol Surg. 2018;13(12):1959–1970. [PMID: 30255463 DOI:10.1007/s11548-018-1860-1]

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Published

2023-04-28

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Section

Editorial

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