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 uses heart signals and blood tests to predict how well your heart will recover over a year after a pulmonary embolism. It may help doctors tailor your care based on your personal risk.

This trial tests a tool that helps emergency room doctors, nurse practitioners, and physician assistants decide when to order CT scans for possible pulmonary embolism (a blood clot in the lungs). It aims to make those decisions safer and more accurate.

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.

This research study tests a special chest CT scan to help diagnose acute pulmonary embolism—a blood clot that suddenly blocks blood flow in your lungs. You may qualify if you're already getting a CT scan for suspected lung clots and meet basic health requirements.