Clin2
NCT06842043Likely a fitNot yet recruiting

AI chest X-ray check for tube placement and lung issues

Endotracheal TubeNasogastric TubePneumothorax

Part of Lungs & breathing clinical trials.

This trial tests if an AI program can help doctors quickly spot problems with breathing tubes, feeding tubes, or collapsed lungs on chest X-rays. It may help patients in emergency or intensive care who need these tubes or are on a ventilator.

Summary written for real people, not researchers, by Clin2.

Phase
N/A
Enrollment
10,900 people
Ages
18 years and older
Study type
Interventional

Who can take part

  • You must be in an emergency or intensive care unit at a participating hospital
  • You need a chest X-ray because of a breathing tube, feeding tube, or ventilator use
  • You must be an adult (18 or older)
  • You cannot be in an isolation ward or a baby intensive care unit

View the official record on ClinicalTrials.gov

Quick eligibility check

Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.

Similar studies

Other trials that look related to this one.

NCT06686251Recruiting
AI assistant for reading chest X-rays in breathing problems

This study tests a computer program that helps doctors read chest X-rays faster and more accurately. It is for adults who had an X-ray because of breathing problems like a cough or fever.

Curitiba, Paraná
NCT06456203Not yet recruiting
AI tool for reading chest x-rays

This trial is testing an AI tool to help doctors read chest x-rays. It includes all patients who get a chest x-ray during the study period, as long as they are 14 or older and alive at discharge.

NCT07766382Recruiting
AI ultrasound check for breathing tube placement

This trial tests if an artificial intelligence system can help doctors use ultrasound to confirm that a breathing tube (called an LMA) is placed correctly during surgery. If the AI works well, it might make anesthesia safer for patients.

Düzce, Düzce
NCT06982144Not yet recruiting
AI tool to predict difficult breathing tube placement using CT scans

This trial uses an artificial intelligence (AI) program to look at CT scan images of your head and neck to predict if putting a breathing tube in will be difficult. The goal is to help doctors plan safer care.

Beijing, Beijing Municipality
NCT07634861Recruiting
AI Assistant Tool for Reading Chest CT Scans

This study tests whether an AI assistant can help radiologists (doctors who read X-rays and scans) interpret chest CT scans more accurately. Radiologists will use the AI tool and provide feedback on whether it's helpful.

Shanghai
NCT06777056Recruiting
AI for spotting lung bruises on chest X-rays after chest injury

This trial tests whether AI can help doctors find lung bruises (contusions) on chest X-rays, using high-resolution CT scans as the reference. If you came to the ER with a blunt chest injury and had both an X-ray and a CT scan within 48 hours, you may be able to help improve how we detect injuries.

Bologna

Hear when a new Endotracheal Tube trial opens

We’ll email you when one opens — at most once a week, no account needed, unsubscribe anytime.