AI scanning to plan reconstructive surgery

This trial is testing a computer program that can automatically analyze medical images like CT scans from people who have had laparoscopic liver, gallbladder, or pancreas surgery. The goal is to see if the AI can help doctors better plan and perform these surgeries.

This trial uses artificial intelligence to analyze CT scans and microscope images of the main leg artery. It aims to improve understanding of artery structure. Participation is only for patients who are already scheduled for a leg amputation as part of their medical care.

This trial uses an advanced AI-assisted imaging device to see the edges of a common skin cancer called basal cell carcinoma before surgery. It may help doctors remove the cancer more precisely, possibly reducing the need for repeat procedures.

This study is testing whether an artificial intelligence program can find broken bones in the spine (vertebral fractures) by looking at CT scans of the chest or abdomen. The goal is to see if AI can help doctors spot these fractures more easily, which could lead to earlier treatment.

This trial tests whether an AI program can better read CT scans to find large blood vessel blockages that cause stroke. If you had a stroke from a blocked large vessel and already had CT scans, the AI may help doctors decide on treatment faster.

This study uses artificial intelligence to analyze CT scans before and during liver surgery. It aims to build a decision-making system to help doctors better plan and perform surgery for liver cancer or other growths.