Ultrasonography.  2023 Jan;42(1):10-19. 10.14366/usg.22110.

Artificial intelligence models for the diagnosis and management of liver diseases

Affiliations
  • 1Department of Gastroenterology and Hepatology, Kindai University Faculty of Medicine, Osaka, Japan

Abstract

With the development of more advanced methods for the diagnosis and treatment of diseases, the data required for medical care are becoming complex, and misinterpretation of information due to human error may result in serious consequences. Human error can be avoided with the support of artificial intelligence (AI). AI models trained with various medical data for diagnosis and management of liver diseases have been applied to hepatitis, fatty liver disease, liver cirrhosis, and liver cancer. Some of these models have been reported to outperform human experts in terms of performance, indicating their potential for supporting clinical practice given their high-speed output. This paper summarizes the recent advances in AI for liver disease and introduces the AI-aided diagnosis of liver tumors using B-mode ultrasonography.

Keyword

Liver diseases; Liver neoplasms; Artificial intelligence; Deep learning; Ultrasonography
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