医学
数字化病理学
胃肠病理学
病理
鉴定(生物学)
胃肠道
人工智能
深度学习
病态的
计算机科学
内科学
植物
生物
作者
Leonardo S. Lino‐Silva,Diana L. Xinaxtle
出处
期刊:Future Oncology
[Future Medicine]
日期:2020-09-05
卷期号:16 (34): 2845-2851
被引量:5
标识
DOI:10.2217/fon-2020-0678
摘要
Artificial intelligence (AI) is a complex technology with a steady flow of new applications, including in the pathology laboratory. Applications of AI in pathology are scarce but increasing; they are based on complex software-based machine learning with deep learning trained by pathologists. Their uses are based on tissue identification on histologic slides for classification into categories of normal, nonneoplastic and neoplastic conditions. Most AI applications are based on digital pathology. This commentary describes the role of AI in the pathological diagnosis of the gastrointestinal tract and provides insights into problems and future applications by answering four fundamental questions.
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