Feb 14, 2019 · AI is widely used and getting increasingly popular in the medical imaging of the liver, including radiology, ultrasound, and nuclear medicine.

An example of AI as applied to hepatology is automatic prognostication of solid tumours based on imaging data. Using a handcrafted approach, human investigators ...

A computer-aided diagnostic (CAD) system for focal liver lesions automatic classification in CT images is being developed. The texture analysis methods are used ...

A computer-aided diagnostic (CAD) system for focal liver lesions automatic classification in CT images is being developed. The texture analysis methods are used ...

Apr 21, 2023 · AI algorithms are currently being implemented in liver imaging, interpretation of liver histopathology, noninvasive tests, prediction models, and more.

Apr 30, 2021 · AI may be applied in medical image reconstruction in order to increase image quality, decrease dose administration (referring to computed tomography) and ...

Jan 6, 2021 · AI-assisted systems have promising potential for the diagnosis of liver fibrosis and NAFLD. Validations of their performances are warranted.

Such methods have been applied to CT and MRI images to perform volumetric segmentation of the liver and spleen and to assess and classify hepatic fibrosis.

Oct 28, 2021 · AI has become an important part of liver disease research, improving diagnostic accuracy, improving decision-making by enhancing predictive power.

Artificial intelligence has a potential role for characterization of liver lesions and liver segmentation.