ArticleMedical & biological engineering & computing2021
Laparoscopic surgical device with modular end tools for real-time endomicroscopy and therapy.
Article in Medical & biological engineering & computing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed, 4 citations in OpenAlex.
No citing paper in PubMed yet.
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Authors and funding
2 authors at 1 institution in 2 countries.
Funding
Abstract
In recent years, laparoscopic surgery attracts considerable attention for its distinct advantages owing to minimized invasiveness. However, traditional surgical instruments have a single function and lack the ability to provide high-resolution images for real-time tissue assessment. Thus, it remains a challenge to perform complex procedures with the traditional surgical instruments. In this paper, a novel laparoscopic surgical device for real-time endomicroscopy and therapy is proposed. The device is integrated with a visualization unit to provide endoscopic images in a constrained cavity for real-time observation. Moreover, modular end tools can be assembled and switched with the multi-DOF manipulator. The experimental results demonstrate that the surface-scanning tool can perform smooth scanning and obtain a large area mosaic of 6.99 mm
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Registered trials
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.