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Update on the Use of Artificial Intelligence in Hepatobiliary MR Imaging.

In Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine

The application of machine learning (ML) and deep learning (DL) in radiology has expanded exponentially. In recent years, an extremely large number of studies have reported about the hepatobiliary domain. Its applications range from differential diagnosis to the diagnosis of tumor invasion and prediction of treatment response and prognosis. Moreover, it has been utilized to improve the image quality of DL reconstruction. However, most clinicians are not familiar with ML and DL, and previous studies about these concepts are relatively challenging to understand. In this review article, we aimed to explain the concepts behind ML and DL and to summarize recent achievements in their use in the hepatobiliary region.

Nakaura Takeshi, Kobayashi Naoki, Yoshida Naofumi, Shiraishi Kaori, Uetani Hiroyuki, Nagayama Yasunori, Kidoh Masafumi, Hirai Toshinori

2023-Jan-26

artificial intelligence, deep learning, machine learning, magnetic resonance imaging