Automated surgical skill assessment in endoscopic pituitary surgery using real-time instrument tracking on a high-fidelity bench-top phantom.
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| Title: | Automated surgical skill assessment in endoscopic pituitary surgery using real-time instrument tracking on a high-fidelity bench-top phantom. |
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| Authors: | Das A; UCL Hawkes Institute University College London London UK., Sidiqi B; UCL Hawkes Institute University College London London UK., Mennillo L; UCL Hawkes Institute University College London London UK., Mao Z; UCL Hawkes Institute University College London London UK., Brudfors M; NVIDIA London UK., Xochicale M; UCL Hawkes Institute University College London London UK.; School of Biomedical Engineering and Imaging Sciences King's College London London UK., Khan DZ; UCL Hawkes Institute University College London London UK.; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK., Newall N; UCL Hawkes Institute University College London London UK.; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK., Hanrahan JG; UCL Hawkes Institute University College London London UK.; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK., Clarkson MJ; UCL Hawkes Institute University College London London UK.; Department of Medical Physics and Biomedical Engineering University College London London UK., Stoyanov D; UCL Hawkes Institute University College London London UK., Marcus HJ; UCL Hawkes Institute University College London London UK.; Department of Neurosurgery National Hospital for Neurology and Neurosurgery London UK., Bano S; UCL Hawkes Institute University College London London UK. |
| Source: | Healthcare technology letters [Healthc Technol Lett] 2024 Dec 02; Vol. 11 (6), pp. 336-344. Date of Electronic Publication: 2024 Dec 02 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley Country of Publication: England NLM ID: 101646459 Publication Model: eCollection Cited Medium: Print ISSN: 2053-3713 (Print) Linking ISSN: 20533713 NLM ISO Abbreviation: Healthc Technol Lett Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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