ReviewAmerican journal of translational research2022
Clinical value of video-assisted single-lumen endotracheal intubation and application of artificial intelligence in it.
Review in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
4 citing papers in PubMed, 5 citations in OpenAlex.
- Video bronchoscope-assisted tracheal intubation in pediatric difficult airways: a single-center retrospective case series.World journal of pediatrics : WJP · 2026Article
- Artificial Intelligence in Anaesthesiology: Current Applications, Challenges, and Future Directions.Turkish journal of anaesthesiology and reanimation · 2025Article
- Emerging technologies in airway management: a narrative review of intubation robotics and anatomical structure recognition algorithms.Biomedical engineering online · 2025Review
- Endotracheal Intubation of Difficult Airways in Emergency Settings: A Guide for Innovators.Medical devices (Auckland, N.Z.) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Visualization techniques and artificial intelligence (AI) are currently used for intubation device. By providing airway visualization during tracheal intubation, the technologies provide safe and accurate access to the trachea. The ability of AI to automatically identify airways from images of intubation device makes it attractive for use in intubation devices. The purpose of this review is to introduce the state of application of visualization techniques and AI in certain intubation devices. We reviewed the evidence of clinical implications of the use of video-assisted intubation device in the intubation time, first attempt success rate, and intubation of the difficult airway. Especially, VivaSight single-lumen tube with an incorporated optics allows direct viewing of the airway. VivaSight single-lumen tube has more advantages in tracheal intubation. AI has been applied to fiberoptic bronchoscopy (FOB) and video laryngoscope with automatic airway image recognition, and has achieved certain accomplishment. Further, we discussed the possibility of applying AI to the VivaSight single-lumen tube and proposed future directions of research and application.
Indexed as
Identifiers
36505300PMC9730106W4311284719What OpenQuestion holds
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.