Scope and caveats:Artificial intelligence in gastroenterology  

作　　者：Gumpeny Ramachandra Sridhar Atmakuri V Siva Prasad Gumpeny Lakshmi 

机构地区：[1]Department of Endocrinology and Diabetes,Endocrine and Diabetes Centre,Visakhapatnam 530002,India [2]Department of Gastroenterology,Institute of Gastroenterology,Visakhapatnam 530003,India [3]Department of Internal Medicine,Gayatri Vidya Parishad Institute of Healthcare&Medical Technology,Visakhapatnam 530048,India

出　　处：《Artificial Intelligence in Gastroenterology》2024年第1期9-13,共5页胃肠病学中的人工智能（英文）

摘　　要：The use of Artificial intelligence(AI)has evolved from its mid-20th century origins to playing a pivotal tool in modern medicine.It leverages digital data and computational hardware for diverse applications,including diagnosis,prognosis,and treatment responses in gastrointestinal and hepatic conditions.AI has had an impact in diagnostic techniques,particularly endoscopy,ultrasound,and histopathology.AI encompasses machine learning,natural language processing,and robotics,with machine learning being central.This involves sophisticated algorithms capable of managing complex datasets,far surpassing traditional statistical methods.These algorithms,both supervised and unsupervised,are integral for interpreting large datasets.In liver diseases,AI's non-invasive diagnostic applications,particularly in non-alcoholic fatty liver disease,and its role in characterizing hepatic lesions is promising.AI aids in distinguishing between normal and cirrhotic livers and improves the accuracy of lesion characterization and prognostication of hepatocellular carcinoma.AI enhances lesion identification during endoscopy,showing potential in the diagnosis and management of early-stage esophageal carcinoma.In peptic ulcer disease,AI technologies influence patient management strategies.AI is useful in colonoscopy,particularly in detecting smaller colonic polyps.However,its applicability in nonacademic settings requires further validation.Addressing these issues is vital for harnessing the potential of AI.In conclusion,while AI offers transformative possibilities in gastroenterology,careful integration and balancing of technical possibilities with ethical and practical application,is essential for optimal use.

关 键 词：Machine learning Neural networks Diagnosis Work-flow ETHICS Image POLYPS HEPATOMA 

分 类 号：R57[医药卫生—消化系统]