Prediction tool for risks after acute pulmonary embolism scans

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.

This study tests a tool that helps emergency department providers like you estimate the risk of blood clots in the lungs (pulmonary embolism) before ordering a CT scan. It aims to make testing more accurate and reduce unnecessary scans.

This study looks at how well certain scores, blood tests, and CT scan findings predict the severity of a pulmonary embolism (blood clot in the lungs). By joining, you may help doctors better understand and treat this condition.

This study looks at how certain blood test results and heart ultrasound measurements relate to the severity of a blood clot in the lungs. It may help doctors better understand how to treat people with this condition.

This study uses ultrasound images of your heart to see how well the right side is working in people who have a blood clot in the lungs. The goal is to better predict which patients might be at higher risk and need more intensive care.

This trial checks whether a bedside ultrasound done in the emergency room can help predict which people with an acute pulmonary embolism are more likely to have bad outcomes. If you qualify, your care team will compare ultrasound findings with your later results to see if it can guide treatment decisions sooner.