Evidence map›Paper›PMID 40478472›Full record

ArticleInternational journal of computer assisted radiology and surgery2025

Enhancing surgical efficiency with an automated scrub nurse robot: a focus on automatic instrument insertion.

Kitaro Yoshimitsu, Ken Masamune, Fujio Miyawaki

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Article in International journal of computer assisted radiology and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Kitaro YoshimitsuFaculty of Advanced Techno-Surgery, Advanced Biomedical Engineering and Science, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo, 162-8666, Japan. yoshimitsu.kitaro@twmu.ac.jp.ORCID http://orcid.org/0000-0002-7323-9958
Ken MasamuneFaculty of Advanced Techno-Surgery, Advanced Biomedical Engineering and Science, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo, 162-8666, Japan.ORCID http://orcid.org/0000-0002-1103-6207
Fujio MiyawakiIndustries-Academies Liaison System Research Institute, Tokyo, Japan.

Funding

Grant-in-Aid for JSPS (Japan Society for the Promotion of Science) Fellows of Japan 06J53151Grant-in-Aid for Scientific Research (B) from the Ministry of Education, Culture, Sports, Science and Technology of Japan 19300186
6 · The paper itself

Abstract

purposeTo address the chronic shortage of skilled scrub nurses, we propose the development of a scrub nurse robot (SNR). This paper describes the third-generation of our SNR, which implements the automatic insertion of surgical instruments (AISI). We focused on optimizing the instrument provision part of the instrument exchange task, which is a crucial role of the scrub nurse.

methodsThe third-generation SNR detects the moment when an operating surgeon withdraws an instrument after use from the trocar cannula, automatically conveys the next instrument to the cannula, and inserts only its tip into the cannula. Thereafter, the surgeon is required to grip the instrument and to push it fully into the cannula. This robotic function is designated as AISI. The following three combinations were compared: (1) third-generation SNR and surgeon stand-ins in a laboratory experiment, (2) three human scrub nurses and a skilled expert surgeon in three real surgical cases, (3) second-generation SNR and surgeon stand-ins in a laboratory experiment.

resultsThe third-generation SNR and surgeon stand-ins were 53% slower and 34% faster, respectively, in targeting the instruments during the instrument exchange sequence compared with the actual OR nurse-surgeon pair and the second-generation SNR-stand-in pair. The average "eyes-off" time of the stand-ins assisted by the third-generation SNR was 0.41 s (0 s in 92 out of 138 trials), whereas that of the real surgeon in clinical cases had a mean of 1.47 (N = 138) (range, 0.69-7.24 s) when using the second-generation SNR.

conclusionThird-generation SNR with AISI can enhance operative efficiency by contributing to smooth instrument exchange, which enhances the surgeon's ability to concentrate on a surgical procedure without interrupting the intraoperative surgical rhythm.

Indexed as

RoboticsRobotic Surgical ProceduresSurgical InstrumentsAutomationEquipment DesignHumansAutomatic insertionLaparoscopic surgeryScrub nurse robotSurgical instrument

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.