Artificial Intelligence in Liver Diseases: Recent Advances

Feifei Lu; Yao Meng; Xiaoting Song; Xiaotong Li; Zhuang Liu; Chunru Gu; Xiaojie Zheng; Yi Jing; Wei Cai; Kanokwan Pinyopornpanish; Andrea Mancuso; Fernando Gomes Romeiro; Nahum Méndez-Sánchez; Xingshun Qi

doi:10.1007/s12325-024-02781-5

Artificial Intelligence in Liver Diseases: Recent Advances

Adv Ther. 2024 Mar;41(3):967-990. doi: 10.1007/s12325-024-02781-5. Epub 2024 Jan 29.

Authors

Feifei Lu^#^{1

2}, Yao Meng^#^{2

3}, Xiaoting Song^#^{2

3}, Xiaotong Li^#^{2

4}, Zhuang Liu^#^{2

4}, Chunru Gu^#^{2

4}, Xiaojie Zheng^#^{2

4}, Yi Jing⁵, Wei Cai⁵, Kanokwan Pinyopornpanish⁶, Andrea Mancuso⁷, Fernando Gomes Romeiro⁸, Nahum Méndez-Sánchez⁹, Xingshun Qi^{10

11

12

13}

Affiliations

¹ College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China.
² Liver Cirrhosis Study Group, Department of Gastroenterology, General Hospital of Northern Theater Command, No. 83 Wenhua Road, Shenyang, 110840, Liaoning Province, China.
³ Postgraduate College, Dalian Medical University, Dalian, China.
⁴ Postgraduate College, China Medical University, Shenyang, China.
⁵ Neusoft Research of Intelligent Healthcare Technology, Co. Ltd., Shenyang, China.
⁶ Department of Internal Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
⁷ Medicina Interna 1, Azienda di Rilievo Nazionale Ad Alta Specializzazione Civico-Di Cristina-Benfratelli, Palermo, Italy. [email protected].
⁸ Internal Medicine Department, Botucatu Medical School, São Paulo, Brazil. [email protected].
⁹ Liver Research Unit, Medica Sur Clinic and Foundation, National Autonomous University of Mexico, Mexico City, Mexico. [email protected].
¹⁰ College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China. [email protected].
¹¹ Liver Cirrhosis Study Group, Department of Gastroenterology, General Hospital of Northern Theater Command, No. 83 Wenhua Road, Shenyang, 110840, Liaoning Province, China. [email protected].
¹² Postgraduate College, Dalian Medical University, Dalian, China. [email protected].
¹³ Postgraduate College, China Medical University, Shenyang, China. [email protected].

^# Contributed equally.

PMID: 38286960
DOI: 10.1007/s12325-024-02781-5

Abstract

Liver diseases cause a significant burden on public health worldwide. In spite of great advances during recent years, there are still many challenges in the diagnosis and treatment of liver diseases. During recent years, artificial intelligence (AI) has been widely used for the diagnosis, risk stratification, and prognostic prediction of various diseases based on clinical datasets and medical images. Accumulative studies have shown its performance for diagnosing patients with nonalcoholic fatty liver disease and liver fibrosis and assessing their severity, and for predicting treatment response and recurrence of hepatocellular carcinoma, outcomes of liver transplantation recipients, and risk of drug-induced liver injury. Herein, we aim to comprehensively summarize the current evidence regarding diagnostic, prognostic, and/or therapeutic role of AI in these common liver diseases.

Keywords: Artificial intelligence; Cirrhosis; Deep learning; Fibrosis; Hepatic; Liver disease; Machine learning.

Publication types

Review

MeSH terms

Artificial Intelligence
Carcinoma, Hepatocellular*
Humans
Liver Cirrhosis / complications
Liver Cirrhosis / diagnosis
Liver Neoplasms* / diagnosis
Non-alcoholic Fatty Liver Disease* / complications
Non-alcoholic Fatty Liver Disease* / diagnosis
Non-alcoholic Fatty Liver Disease* / therapy