Support for the diagnosis of ultrasound examinations using artificial intelligence (5 min)
Artificial intelligence helps doctors evaluate chest ultrasound and detect pathological conditions. The project builds on completed basic research and in its current phase is moving toward practical, commercial deployment. Chest ultrasound is a newer method compared with CT or X-ray, but it does not assess lung tissue directly, which is practically invisible on ultrasound. Doctors look for signs at the interface between the lungs and the chest wall, in the pleural area. Among the static signs are the so-called A-lines and B-lines, visible on individual frames. A temporal phenomenon called lung sliding is also important: in disease or after surgery it can cease, which is a warning sign.Chest ultrasound and what we actually see
