2023年1月
Artificial intelligence models for the diagnosis and management of liver diseases.
Ultrasonography (Seoul, Korea)
- ,
- 巻
- 42
- 号
- 1
- 開始ページ
- 10
- 終了ページ
- 19
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.14366/usg.22110
- 出版者・発行元
- KOREAN SOC ULTRASOUND MEDICINE
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.
- リンク情報
-
- DOI
- https://doi.org/10.14366/usg.22110
- PubMed
- https://www.ncbi.nlm.nih.gov/pubmed/36443931
- PubMed Central
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816706
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000891596000001&DestApp=WOS_CPL
- 共同研究・競争的資金等の研究課題
- 肝腫瘍におけるAI支援超音波診断システムの実用化研究
- ID情報
-
- DOI : 10.14366/usg.22110
- ISSN : 2288-5919
- eISSN : 2288-5943
- PubMed ID : 36443931
- PubMed Central 記事ID : PMC9816706
- Web of Science ID : WOS:000891596000001