Evidence map›Paper›PMID 34940279›Full record

ArticleBiosensors2021

AI-Enabled, Ultrasound-Guided Handheld Robotic Device for Femoral Vascular Access.

Laura J Brattain, Theodore T Pierce, Lars A Gjesteby, Matthew R Johnson, Nancy D DeLosa, Joshua S Werblin, Jay F Gupta, Arinc Ozturk, Xiaohong Wang, Qian Li and 2 more

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
9.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 54 citations in OpenAlex.

  1. Trial
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  12. Resuscitative endovascular balloon occlusion of the aorta in trauma patients: Past, present, and future.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2026
    Review
  13. Review
  14. Real-time 3D US-CT fusion-based semi-automatic puncture robot system: clinical evaluation.International journal of computer assisted radiology and surgery · 2025
    Article
  15. Article
  16. Review
  17. Endovascular Localization of Aortic Injury in a Porcine Model.IEEE open journal of engineering in medicine and biology · 2025
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Laura J BrattainLincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA 02421, USA.
Theodore T PierceDepartment of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0003-3244-0994
Lars A GjestebyLincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA 02421, USA.ORCID 0000-0002-5021-7705
Matthew R JohnsonLincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA 02421, USA.
Nancy D DeLosaLincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA 02421, USA.
Joshua S WerblinLincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA 02421, USA.
Jay F GuptaLincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA 02421, USA.ORCID 0000-0002-1779-042X
Arinc OzturkDepartment of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.ORCID 0000-0002-5335-3737
Xiaohong WangDepartment of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.
Qian LiDepartment of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.
Brian A TelferLincoln Laboratory, Massachusetts Institute of Technology, Lexington, MA 02421, USA.ORCID 0000-0002-3534-7149
Anthony E SamirDepartment of Radiology, Massachusetts General Hospital, Boston, MA 02114, USA.
MIT Lincoln Laboratory · USMassachusetts General Hospital · US

Funding

U.S Deparment of Defense Combat Casualty Care Research Program N/A
6 · The paper itself

Abstract

Hemorrhage is a leading cause of trauma death, particularly in prehospital environments when evacuation is delayed. Obtaining central vascular access to a deep artery or vein is important for administration of emergency drugs and analgesics, and rapid replacement of blood volume, as well as invasive sensing and emerging life-saving interventions. However, central access is normally performed by highly experienced critical care physicians in a hospital setting. We developed a handheld AI-enabled interventional device, AI-GUIDE (Artificial Intelligence Guided Ultrasound Interventional Device), capable of directing users with no ultrasound or interventional expertise to catheterize a deep blood vessel, with an initial focus on the femoral vein. AI-GUIDE integrates with widely available commercial portable ultrasound systems and guides a user in ultrasound probe localization, venous puncture-point localization, and needle insertion. The system performs vascular puncture robotically and incorporates a preloaded guidewire to facilitate the Seldinger technique of catheter insertion. Results from tissue-mimicking phantom and porcine studies under normotensive and hypotensive conditions provide evidence of the technique's robustness, with key performance metrics in a live porcine model including: a mean time to acquire femoral vein insertion point of 53 ± 36 s (5 users with varying experience, in 20 trials), a total time to insert catheter of 80 ± 30 s (1 user, in 6 trials), and a mean number of 1.1 (normotensive, 39 trials) and 1.3 (hypotensive, 55 trials) needle insertion attempts (1 user). These performance metrics in a porcine model are consistent with those for experienced medical providers performing central vascular access on humans in a hospital.

Indexed as

Catheterization, Central VenousRobotic Surgical ProceduresUltrasonography, InterventionalAnimalsArtificial IntelligenceFemoral VeinHumansSwineartificial intelligencedeep learningfemoral veinmedical roboticsvascular access

Identifiers

PMID34940279
PMCPMC8699246
OpenAlexW4200214130

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.