News | Artificial Intelligence | January 20, 2022

The algorithm improves critical care management for improper tube placements 

Leading health tech firm Qure.ai 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.

January 20, 2022 — Leading health tech firm Qure.ai 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 your patient. While a common procedure done in hospitals daily, Rates for incorrect ET tube placement have been noted to be up to 25%1. According to the Society of Airway Management, mistakes during the intubation process threaten the lives of 121,000 hospital intensive care unit patients annually in the United States2. Even if you have an expert clinical team 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.  

Mannudeep Kalra, M.D., attending thoracic radiologist, Massachusetts General Hospital and Professor of Radiology, Harvard Medical School, who was involved in a research collaboration evaluating the technology said, “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.” 

“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 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,” he added. 

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. 

For more information: www.qure.ai


Related Content

News | Digital Radiography (DR)

July 18, 2024 — At the Annual Meeting of AHRA (the Association for Medical Imaging Management), Agfa Radiology Solutions ...

Time July 18, 2024
arrow
News | Digital Pathology

July 12, 2024 — AGFA HealthCare, a global leader in healthcare imaging management solutions, announced that Enterprise ...

Time July 12, 2024
arrow
News | Digital Pathology

July 12, 2024 — Diagnosing cancer and providing the personalized therapy it often requires, is a collaborative effort ...

Time July 12, 2024
arrow
Feature | Imaging Technology News - ITN

Be sure to check out the latest digital edition of Imaging Technology News (ITN), featuring the Mobile C-arm Systems ...

Time July 11, 2024
arrow
News | Prostate Cancer

July 11, 2024 — GE HealthCare’s MIM Software, a global provider of medical imaging analysis and artificial intelligence ...

Time July 11, 2024
arrow
Feature | Radiation Oncology | By Christine Book

News emerging from several leading organizations and vendors in the radiation therapy arena came in at a fast pace in ...

Time July 09, 2024
arrow
Feature | PACS | By Michael J. Cannavo

Back in 1966, Joni Mitchell sang these words in her song “Both Sides Now:” I’ve looked at clouds from both sides now ...

Time July 08, 2024
arrow
Feature | Radiology Business

ITN conducts a bi-monthly survey to its readers on a variety of topics, which is used to create the Last Read, a unique ...

Time July 08, 2024
arrow
Feature | Radiology Business

The ITN team wishes you a safe and happy 4th of July!

Time July 04, 2024
arrow
News | Artificial Intelligence

July 3, 2024 — Proscia, a global leader in AI-enabled pathology solutions for precision medicine, has partnered with ...

Time July 03, 2024
arrow
Subscribe Now