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

Download Mobile App




Events

ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

AI Technology to Assess Breathing Tube Placements Through Chest X-Rays Receives FDA Clearance

By MedImaging International staff writers
Posted on 21 Jan 2022
Print article
Image: AI Technology to assess breathing tube placements through chest X-rays receives FDA clearance (Photo courtesy of Qure.ai)
Image: AI Technology to assess breathing tube placements through chest X-rays receives FDA clearance (Photo courtesy of Qure.ai)

Qure.ai Technologies (Mumbai, India) has gained 510(k) clearance from the Food and Drug Administration (FDA) for an artificial intelligence (AI) algorithm called qXR-BT that will help doctors in assessing Breathing Tube (BT) placements.

Through chest X-rays, the algorithm assists clinicians for intubated patients in locating the BT placement and automating measurements. This is the first solution of its kind to automate the manual measurement process for both endotracheal and tracheostomy tubes. Verification of endotracheal tube (ETT) placement is imperative for the oxygenation, ventilation, and airway protection of patients. While a common procedure done in hospitals daily, rates for incorrect ET tube placement have been noted to be up to 25%. Mistakes during the intubation process pose a threat to the lives of hospital intensive care unit patients. Even if an expert clinical team is present for inserting and securing the tube after the initial placement, ETT migration is an inevitable consequence of coughing, suctioning, transport, and patient movement.

Qure's qXT-BT algorithm analyzes the tube position, automates measurement, and gives the physician a report on the tube’s positional accuracy in less than a minute. This enables clinicians to rapidly identify if the tube is properly positioned or whether extra attention is required. The algorithm is vendor-agnostic and is designed to work on both portable and stationary X-ray machines. qXR-BT is expected to become a standard feature of any critical care framework, giving residents and junior clinicians more confidence in reliably measuring breathing tube placement in intubated patients.

“Daily monitoring of Tubes is critical for all intubated inpatients, and sometimes an arduous task on the portable exam with either the carina obscured or the tip not visible. An accurate AI solution could be a valuable aid for reporting on these chest X-rays- especially with the measurement,” said Dr. Mannudeep Kalra, attending thoracic radiologist, Massachusetts General Hospital and Professor of Radiology, Harvard Medical School, who was involved in a research collaboration evaluating the technology.

“We are pleased to have received FDA clearance for qXR-BT. In the last two years, we have seen the need to decrease processing times and solve workflow delays,” said Prashant Warier, CEO and Co-Founder, Qure.ai. “Especially in the wake of the COVID-19 pandemic and the need for mechanical ventilation in affected patients, the need for prompt assistance to an overburdened healthcare workforce is paramount.”

Related Links:
Qure.ai Technologies 


Print article
Radcal
CIRS -  MIRION

Channels

Radiography

view channel
Image: Spinal fractures in the elderly are preventable with simple X-rays (Photo courtesy of Pexels)

Simple X-Ray Method Can Diagnose Vertebral Compression and Prevent Spinal Fractures

Vertebral compression means that the spine is compressed, causing a fracture in one of the vertebrae. Vertebral compression fractures (VCFs) occur easily in people with osteoporosis and are very common... Read more

Imaging IT

view channel
Illustration

Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology

The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read more

Industry News

view channel
Image: RSNA`s annual meeting is the world`s largest medical imaging conference (Photo courtesy of RSNA)

RSNA 2022 Sees Rise in Abstract Submissions Ahead of Annual Meeting

The Radiological Society of North America (RSNA, Oak Brook, IL, USA) has announced that nearly 10,400 scientific and educational abstracts have been submitted for the Society's 108th Scientific Assembly... Read more
Copyright © 2000-2022 Globetech Media. All rights reserved.