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 

Gold Supplier
SBRT Phantom with Removable Spine
E2E SBRT Phantom with Removable Spine Model 036S-CVXX-xx
Gold Supplier
Premium Ultrasound Scanner
ARIETTA 850
New
Medical Software
Bladder Scanner Graphics Workstation Software
New
Portable Color Doppler Ultrasound System
P11 PLUS

Print article
Radcal

Channels

MRI

view channel
Image: MRI scan showing the fetus and placental compartments (Photo courtesy of WUSTL)

New MRI Method Automatically Detects Placental Health during Pregnancy

Early monitoring of the placenta can improve detection and prevention of pregnancy complications, such as preterm birth, fetal growth disorders and preeclampsia. Currently, standard MRI analysis methods... Read more

Ultrasound

view channel
Image: The new Clarius MSK AI model speeds up diagnosis and treatment of musculoskeletal injuries (Photo courtesy of Clarius)

Handheld MSK Ultrasound Scanner Uses AI to Automatically Identify and Measure Tendons in Foot, Ankle and Knee

An artificial intelligence (AI) application for musculoskeletal (MSK) imaging that works with handheld point-of-care ultrasound devices automatically identifies, highlights, and measures tendon structures... Read more

Nuclear Medicine

view channel
Image: Tracking radiation treatment in real time promises safer, more effective cancer therapy (Photo courtesy of Pexels)

Real-Time 3D Imaging Provides First-of-Its-Kind View of X-Rays Hitting Inside Body During Radiation Therapy

Radiation is used in treatment for hundreds of thousands of cancer patients each year, bombarding an area of the body with high energy waves and particles, usually X-rays. The radiation can kill cancer... Read more

General/Advanced Imaging

view channel
Image: CZT gamma detector for SPECT imaging (Photo courtesy of Kromek)

Low-Dose Molecular Breast Imaging (MBI) Could Improve Cancer Detection in Dense Breast Tissue

Traditional mammography is often less able to clearly image tumors due to the density of the breast tissue. Molecular breast imaging (MBI) technology uses a radioactive tracer that ‘lights up’ areas of... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2023 Globetech Media. All rights reserved.