期刊
MACHINE LEARNING AND KNOWLEDGE EXTRACTION
卷 4, 期 4, 页码 814-826出版社
MDPI
DOI: 10.3390/make4040040
关键词
artificial intelligence; parathyroid glands; hyperparathyroidism; multigland disease; parathyroid adenoma; deep learning; machine learning
This study investigates the use of artificial intelligence methods in thyroid and parathyroid surgeries, finding that AI can aid in the localization and identification of parathyroid abnormalities and provide preoperative diagnostic assistance.
Background: Recent advances in Artificial Intelligence (AI) algorithms, and specifically Deep Learning (DL) methods, demonstrate substantial performance in detecting and classifying medical images. Recent clinical studies have reported novel optical technologies which enhance the localization or assess the viability of Parathyroid Glands (PG) during surgery, or preoperatively. These technologies could become complementary to the surgeon's eyes and may improve surgical outcomes in thyroidectomy and parathyroidectomy. Methods: The study explores and reports the use of AI methods for identifying and localizing PGs, Primary Hyperparathyroidism (PHPT), Parathyroid Adenoma (PTA), and Multiglandular Disease (MGD). Results: The review identified 13 publications that employ Machine Learning and DL methods for preoperative and operative implementations. Conclusions: AI can aid in PG, PHPT, PTA, and MGD detection, as well as PG abnormality discrimination, both during surgery and non-invasively.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据