* A study utilized point-of-care ultrasound (POCUS) images taken by non-expert personnel to develop a deep learning algorithm capable of classifying liver steatosis.
* The final deep learning model, DenseNet-121, demonstrated strong performance with a sensitivity of 95% and specificity of 85.2%, indicating that even low-quality ultrasound images can effectively detect liver fat when analyzed with advanced algorithms.