We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Sekisui Diagnostics UK Ltd.

Download Mobile App




Events

13 Jun 2024 - 15 Jun 2024
18 Jun 2024 - 20 Jun 2024

Steerable Lung Robot Reaches Targets Not Possible Even With Robotic Bronchoscope

By HospiMedica International staff writers
Posted on 22 Sep 2023
Print article
Image: An overview of the semiautonomous medical robot’s three stages in the lungs (Photo courtesy of UNC School of Medicine)
Image: An overview of the semiautonomous medical robot’s three stages in the lungs (Photo courtesy of UNC School of Medicine)

Lung cancer is one of the prime reasons for cancer-related deaths worldwide. Detecting and reaching small tumors lodged deep within lung tissue is a major hurdle for medical professionals. To overcome this obstacle, researchers have been working on a highly flexible, yet robust, robot that can navigate through lung tissue.

The research by UNC School of Medicine (Chapel Hill, NC, USA) reached a new milestone with the team proving that their robot can autonomously travel from one point to another while avoiding crucial anatomical structures like small airways and blood vessels in a living lab model. The autonomous steerable needle robot comprises various elements. A mechanical controller offers a controlled thrust of the needle, allowing it to move both forward and backward. Made from a nickel-titanium alloy, the needle itself is designed to enable steering along curved paths and is laser-etched to enhance its bendability and enable smooth movement through tissue.

As it moves forward, the needle's etched design enables it to navigate around obstacles effortlessly. Additional instruments, like catheters, can be used with the needle to execute procedures such as lung biopsies. In order to drive through tissue, the needle relies on CT scans and artificial intelligence to build a 3D map of the subject’s lung, incorporating features like airways, blood vessels, and the target area. Once set in its starting position, the AI-powered software commands the needle to autonomously travel between designated points while avoiding vital structures.

Accounting for the lungs' constant movement due to breathing presents an additional challenge. The lungs are unique in that they continually expand and contract, making precise targeting tricky. The researchers equate it to aiming at a moving target. To overcome this, they tested the robot in a lab model that mimicked intermittent breath-holding. Each time the subject holds their breath, the robot is programmed to move forward.

“This technology allows us to reach targets we can’t otherwise reach with a standard or even robotic bronchoscope,” said Jason Akulian, MD MPH, in the UNC Department of Medicine. “It gives you that extra few centimeters or few millimeters even, which would help immensely with pursuing small targets in the lungs.”

“The autonomous steerable needle we’ve developed is highly compact, but the system is packed with a suite of technologies that allow the needle to navigate autonomously in real-time,” added Ron Alterovitz, PhD,, the principal investigator on the project. “It’s akin to a self-driving car, but it navigates through lung tissue, avoiding obstacles like significant blood vessels as it travels to its destination.”

Related Links:
UNC School of Medicine

Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Gold Member
12-Channel ECG
CM1200B
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
Single Chamber Ultrasonic - Wash / Rinse
565 PLUS Series

Print article

Channels

Critical Care

view channel
Image: A full readout from the new AI algorithm that helps read EEGs (Photo courtesy of Duke University)

AI Doubles Medical Professionals’ Accuracy in Reading EEG Charts of ICU Patients

Electroencephalography (EEG) readings are crucial for detecting when unconscious patients may be experiencing or are at risk of seizures. EEGs involve placing small sensors on the scalp to measure the... Read more

Patient Care

view channel
Image: The portable, handheld BeamClean technology inactivates pathogens on commonly touched surfaces in seconds (Photo courtesy of Freestyle Partners)

First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds

Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: POCT offers cost-effective, accessible, and immediate diagnostic solutions (Photo courtesy of Flinders University)

POCT for Infectious Diseases Delivers Laboratory Equivalent Pathology Results

On-site pathology tests for infectious diseases in rural and remote locations can achieve the same level of reliability and accuracy as those conducted in hospital laboratories, a recent study suggests.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.