Evidence map›Paper›PMID 26120592›Full record

ArticleTechnology2013

Portable robot for autonomous venipuncture using 3D near infrared image guidance.

Alvin Chen, Kevin Nikitczuk, Jason Nikitczuk, Tim Maguire, Martin Yarmush

Abstract read
In one paragraph

Article in Technology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Role of Artificial Intelligence in Kidney Disease.International journal of medical sciences · 2020
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. The System Design and Evaluation of a 7-DOF Image-Guided Venipuncture Robot.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2015
    Article
  12. Article
  13. Real-time Needle Steering in Response to Rolling Vein Deformation by a 9-DOF Image-Guided Autonomous Venipuncture Robot.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems
    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

5 authors.

Alvin ChenVascuLogic, LLC, Piscataway NJ 08854, USA.
Kevin NikitczukVascuLogic, LLC, Piscataway NJ 08854, USA.
Jason NikitczukVascuLogic, LLC, Piscataway NJ 08854, USA.
Tim MaguireVascuLogic, LLC, Piscataway NJ 08854, USA.
Martin YarmushVascuLogic, LLC, Piscataway NJ 08854, USA.

Funding

UMDNJ TRAINING GRANT IN BIOTECHNOLOGYT32GM008339 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI YARMUSH, MARTIN L · 1989 to 2019
$6.1M
Portable automated device for rapid venous blood draws and point of care diagnostic analysisR01EB020036 · NIBIB · RUTGERS, THE STATE UNIV OF N.J. · PI YARMUSH, MARTIN L · 2015 to 2018
$2.7M
Low-Cost, Compact, and Portable Robot for Autonomous Intravenous Access using NeaF31EB018191 · NIBIB · RUTGERS, THE STATE UNIV OF N.J. · PI CHEN, ALVIN · 2014 to 2015
$67k
NIBIB NIH HHS F31 EB018191NIBIB NIH HHS R01 EB020036NIGMS NIH HHS T32 GM008339
6 · The paper itself

Abstract

Venipuncture is pivotal to a wide range of clinical interventions and is consequently the leading cause of medical injury in the U.S. Complications associated with venipuncture are exacerbated in difficult settings, where the rate of success depends heavily on the patient's physiology and the practitioner's experience. In this paper, we describe a device that improves the accuracy and safety of the procedure by autonomously establishing a peripheral line for blood draws and IV's. The device combines a near-infrared imaging system, computer vision software, and a robotically driven needle within a portable shell. The device operates by imaging and mapping in real-time the 3D spatial coordinates of subcutaneous veins in order to direct the needle into a designated vein. We demonstrate proof of concept by assessing imaging performance in humans and cannulation accuracy on an advanced phlebotomy training model.

Identifiers

PMID26120592
PMCPMC4482475
OpenAlexW2080761928

What OpenQuestion holds

Textmetadata
LicenceTDM
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.