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 hp
Sign In
Advertise with Us

Download Mobile App


31 Jul 2024 - 02 Aug 2024
02 Aug 2024 - 04 Aug 2024
20 Aug 2024 - 22 Aug 2024

Robotics Combined with AI Improves Safety in Emergency Stroke Surgeries

By HospiMedica International staff writers
Posted on 20 Jun 2024
Print article
Image: Robotics and AI combination has potential to improve safety in emergency stroke surgeries (Photo courtesy of KCL)
Image: Robotics and AI combination has potential to improve safety in emergency stroke surgeries (Photo courtesy of KCL)

Cardiovascular diseases remain the leading cause of death throughout Europe, resulting in over 4 million fatalities annually. Mechanical thrombectomies (MT), which involve the surgical removal of blood clots from large blood vessels, have become a standard treatment for patients experiencing such blockages, particularly strokes. The time between the first onset of stroke symptoms to the initiation of treatment is critical; the sooner the clot is removed, the greater the chance that the patient will regain independence after a stroke. Researchers are now focusing on how surgical robots, autonomously guided by artificial intelligence (AI), might improve the safety and efficiency of these procedures.

Researchers at King’s College London (KCL, London, UK) utilized computer modeling to demonstrate that the initial step of the MT procedure, which involves navigating catheters and wires from the groin into the neck vessels, can be performed autonomously using AI navigation. The team adopted inverse reinforcement learning (IRL) to train new AI models. In their studies to assess the viability of IRL for navigation, they compared the effectiveness of single-device tracking (guidewire alone) versus dual-device tracking (catheter and guidewire together), finding both methods highly successful with success rates of 95% and 96%, respectively.

However, the dual-device tracking, which simulates the actions of an expert, showed that integrating IRL with a dense reward function, known as reward shaping, leads to higher overall success rates and reduced procedure times compared to existing methods. The model developed through reward shaping leverages demonstrator data via IRL to navigate towards the target effectively, while the dense reward function encourages quick and efficient progress towards the target, minimizing the number of steps needed.

"Our research uses AI to show, for the first time, how to autonomously navigate medical instruments from the groin to the neck in blood vessels. This is an important part of MT, which removes clots from blood vessels. We also explored various methods to teach the AI,” said King’s PhD student Harry Robertshaw. “We found that using real-life examples to guide the AI, a technique known as 'inverse reinforcement learning', improves its performance compared to the best current methods. Moving forward we can use these new techniques to create models that may be able to navigate unseen patient blood vessels, moving us closer to realizing the full benefits of robotic MT with autonomous assistance.”

“Our work is another step forwards towards improved procedural accessibility and precision of autonomous endovascular navigation tasks,” added Dr. Thomas Booth, Reader in Neuroimaging, School of Biomedical Engineering & Imaging Sciences. “For mechanical thrombectomy, the work plausibly lays the foundation for potentially transformative patient care - for example by treating patients more safely by using AI assistive navigation technologies.”

Related Links:
King’s College London

Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Gold Member
SARS‑CoV‑2/Flu A/Flu B/RSV Sample-To-Answer Test
SARS‑CoV‑2/Flu A/Flu B/RSV Cartridge (CE-IVD)
Silver Member
Compact 14-Day Uninterrupted Holter ECG
Hemocor HPH

Print article


Critical Care

view channel
Image: A visualization of the blood-brain barrier disruption one hour post-treatment as noted by the diffusion of normally impermeant (Photo courtesy of APL Bioengineering)

New Technique Treats Aggressive Brain Tumors by Disrupting Blood-Brain Barrier

Glioblastoma, the most common malignant brain tumor, accounts for more than half of all such cancers. Despite the use of aggressive treatments like surgery, chemotherapy, and radiotherapy, the prognosis... 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


view channel
Image: The finalists have been announced for the IHF Awards 2024 (Photo courtesy of IHF)

International Hospital Federation Awards 2024 Finalists Announced

The International Hospital Federation (IHF; Geneva, Switzerland) has announced the finalists of the IHF Awards 2024 after the judges completed scoring entries in all 7 Award categories. The IHF Awards... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.