AI study for diagnosing blood clots in lungs

This study looks at people with interstitial lung disease (a lung scarring condition) who have new or worsening symptoms that might be caused by a blood clot in the lungs (pulmonary embolism). Doctors want to find better ways to predict which patients actually have a clot, which could lead to earlier and more accurate treatment.

This study looks at whether a heart ultrasound measurement called pulmonary artery pressure can help doctors predict if a patient with shortness of breath has a blood clot in the lungs. It compares current pressure readings with past readings to see if changes might signal a clot.

This study tests a new, non-invasive imaging method called pulsatile electrical impedance tomography (EIT) to help diagnose and monitor acute pulmonary embolism (blood clots in the lungs). It may provide a faster or safer way to detect clots compared to standard CT scans, especially for patients who cannot have contrast dye.

This trial uses an artificial intelligence tool to look at results from tests used to evaluate pulmonary hypertension. It may help doctors make sense of your past test results, especially heart and lung evaluation results.

This study uses artificial intelligence to look at CT scans of the lungs to help find blood clots (pulmonary embolism). By participating, you help improve how these scans are read, which may lead to faster and more accurate diagnosis in the future.

This trial uses an artificial intelligence (AI) system to read CT scan images of the lungs and predict outcomes after a pulmonary embolism (a blood clot in the lung). It may help doctors identify who is at higher risk, so treatment decisions can be faster and more accurate.