SBIR/STTR Research Award

STTR Phase I:Smart Semiautonomous Fluid Drainage System for Surgical Procedures

Award identifier 797b28f6fd0c29a88eb5303021ea84d796a4770a71b1c3aeb470d5930b6a1cf1Awarding agency National Science Foundation

Award amount

$256,000

Program and phase

STTR · Phase I

Award year

2022

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Award details

Awarding agency
National Science Foundation
Branch
Not reported
Recipient company
JUGGERNAUT LIFE SCIENCES LLC
Proposal award date
2022-03-01
Contract end date
2023-02-28
UEI
D5EFTMJJ64L4
Solicitation number
NSF 21-563
Topic code
MD

Research abstract

This Small Business Technology Transfer (STTR) Phase I project will develop a novel automated manner to drain abnormal accumulations of fluid in the abdominal body cavity. The proposed system seeks to progress visualization, sensor and algorithm technologies to semi-automate drainage procedures,standardizing delivery of care and reducing the required clinical resources (personnel and required hospital equipment). Healthcare costs continue to increase in the United States (US). This trend, coupled with current and projected manpower shortages in the healthcare sector, is driving the relevant stakeholders to consider innovative solutions to appropriately manage healthcare costs while still providing high-quality healthcare to patients. While other sectors of the economy have greatly benefited from increased use of automation to improve efficiency and cost containment, for a variety of reasons, the healthcare sector is lagging in implementing these innovations in a systemic way. With this opportunity in mind, this Phase I STTR project aims to prove the feasibility of developing a unique, semi-autonomous robotic platform that will be adaptable to many medical procedures. As envisioned, the technology may lead to key advances, including improved patient outcomes and levels of care while increasing procedure/staff efficiencies, and reducing medical costs.The objective of this Phase I effort is to demonstrate a proof of concept for an integrated procedural unit for semi-autonomously performing paracenteses. The prototype system to be completed during this stage is comprised of an ultrasound probe, motorized anesthetic syringe, scalpel, and aspiration needle, and can be integrated into standard, commercially available robotic units. The algorithm will be developed using Bayesian indexingbased on ultrasound images to execute ascites fluid removal in both virtual and mechanical simulations. Based on the preliminary work done by the multidisciplinary team of medical, robotic, and artificial intelligence (AI)) experts, the company plans to create and test a compact robotic device with the required sensory and driving components. This robotic device will have multiple subunits arranged in a compact and innovative way, capable of accurately imaging and controlling various instruments essential for anesthetizing and then driving the necessary cannulas for fluid aspiration. The project objectives include: (i) design and manufacture of the robotic system, (ii) development of AI-driven segmentation of ultrasound images and optimization of needle placement, and (iii) design and implementation of control algorithms for safe and robust operation of the surgical robot.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Technology keywords

Not reported

Agency intelligence

National Science Foundation

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