Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. AI-Enabled, Ultrasound-Guided Handheld Robotic Device for Femoral Vascular Access

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

Thumbnail Image
Download
Name

biosensors-11-00522-v2.pdf

Size

3.54 MB

Format

Adobe PDF

Checksum (MD5)

191d8b898d3f84fc274b9413ad11e014

Download all files submitted through automated deposit
packager-61c4908f.zip (3.44 MB)
Author(s)
Brattain, Laura J.
•
Pierce, Theodore T.
•
Gjesteby, Lars A.
•
Johnson, Matthew R.
•
DeLosa, Nancy D.
•
Werblin, Joshua S.
•
Gupta, Jay F.
•
Ozturk, Arinc
•
Wang, Xiaohong
•
Li, Qian
more
Date Issued
December 18, 2021
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Biosensors 11 (12): 522 (2021)
Version
Final published version
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.
MIT Department
Lincoln Laboratory
Terms of Use
Creative Commons Attribution
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/138783
DOI of Published Version
https://doi.org/10.3390/bios11120522
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.