人工智能技术用于诊断非酒精性脂肪肝疾病的应用:系统性审查 (2005-2023)
H Zamanian1, A Shalbaf1, M R Zali2
1Department of Biomedical Engineering and Medical Physics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Computer methods and programs in biomedicine
|November 26, 2023
概括
使用超声波成像和临床数据的人工智能模型可以准确地检测非酒精性脂肪肝疾病 (NAFLD) 和其并发症. 这些人工智能工具减少了对侵入性活检的需求,提供了高效和可访问的诊断,以获得更好的患者结果.
科学领域:
- 肝病学 肝病学是一种肝病学.
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 非酒精性脂肪肝 (NAFLD) 是一个日益严重的全球健康问题.
- 准确的预后需要区分肥胖症,肥胖肝炎和纤维化,传统上通过侵入性活检诊断.
- 像超声波 (US) 成像和临床参数等非侵入性方法对NAFLD评估有希望.
研究的目的:
- 系统地审查人工智能 (AI) 支持的NAFLD诊断模型.
- 专注于利用美国 (包括弹性图) 和临床数据的模型.
- 评估AI在改善NAFLD诊断和管理方面的潜力.
主要方法:
- 在谷歌学者,Scopus和PubMed (2005年1月 - 2023年6月) 进行全面的文献搜索.
- 关键词包括NAFLD,NASH,AI,机器学习,深度学习,超声波和临床信息.
- 审查了64个已发表的NAFLD诊断和分期的AI模型.
主要成果:
- 人工智能模型显示可靠检测NAFLD,非酒精性脂肪肝炎和纤维化.
- 性能因数据输入 (美国与临床) 和算法 (机器与深度学习) 而有所不同.
- 模型评估了疾病的存在,严重程度和并发症.
结论:
- 整合美国成像和临床数据的AI模型为NAFLD诊断提供了可靠的,非侵入性的方法.
- 这些人工智能工具可以降低医疗保健成本和肝脏活检的需要.
- 人工智能作为专家的宝贵助手,加速诊断和改善患者护理.
相关概念视频
01:25Ultrasound II: Endoscopic Ultrasound and FibroScan
113
Endoscopic Ultrasound (EUS) and FibroScan are valuable diagnostic tools in gastroenterology and hepatology, each with specific applications and techniques.
Endoscopic Ultrasound (EUS):
Endoscopic Ultrasound (EUS):
113
01:26Diseases of the Liver and Gallbladder
560
Liver and gallbladder diseases are a significant health concern, with prominent conditions including cirrhosis, hepatitis, non-alcoholic fatty liver disease (NAFLD), and gallstones. Jaundice is a common manifestation of liver and biliary disease.
Cirrhosis is characterized by the scarring of hepatic lobules in the liver, which are replaced by fibrous tissue, affecting the liver's normal functioning. NAFLD, on the other hand, is caused by an excessive build-up of fat in the liver, not...
Cirrhosis is characterized by the scarring of hepatic lobules in the liver, which are replaced by fibrous tissue, affecting the liver's normal functioning. NAFLD, on the other hand, is caused by an excessive build-up of fat in the liver, not...
560