Artificial intelligence is becoming part of routine ultrasound imaging because it can help address one of the modality’s biggest challenges: variability between users. By supporting repetitive and technically demanding steps such as image optimization, Doppler setup and measurement placement, AI can help make the LOGIQ™ ultrasound workflows more efficient and consistent

One in four adults over the age of 40 and every third overweight child in Germany suffers from fatty liver disease. Generally, the culprit is non-alcoholic fatty liver disease (NAFLD), which is caused by excessive body fat, unhealthy eating habits, and a sedentary lifestyle, and can progress to liver inflammation, cirrhosis, or even cancer if left untreated.

Musculoskeletal (MSK) ultrasound has gained popularity as a highly efficient imaging method. It streamlines diagnostics by allowing practitioners to quickly and accurately assess structures in a single step. This technique aids in early detection of conditions, potentially shortening diagnostic times and cutting costs by optimizing resource use. MSK ultrasound offers detailed insights into musculoskeletal anatomy, enhancing patient care and outcomes. It also minimizes radiation exposure and improves patient comfort due to its swift scanning process. As a tool for prompt and precise diagnosis of musculoskeletal issues, its effectiveness increases as clinicians grow more adept at using it, promising wider adoption in various MSK evaluations.

Medical progress is experiencing groundbreaking development through the use of Artificial Intelligence (AI), especially in the field of imaging techniques. Ultrasound, a long-established method, has been remarkably enhanced by AI, significantly improving both the speed and accuracy of diagnoses.