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人工智能在内分泌代谢领域的应用及展望 被引量:5

Application and prospect of artificial intelligence in the field of endocrinology and metabolism
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摘要 人工智能(artificial intelligence,AI)是近年发展最快的科学之一,其在医学领域的发展带来了全新的概念,也对传统医学带来了巨大的冲击,是借势而为还是静观其变是对各学科和医学人的考验。AI在医学影像等领域已经取得了令人瞩目的效果。目前,AI在内分泌代谢领域的应用研发也日趋广泛,包括在糖尿病及其并发症的诊断和预测的应用,辅助治疗方案的选择和血糖管理,人工胰岛的开发与管理,在肥胖分类诊疗的探索,在减重手术的疗效和并发症预测的探索;在骨质疏松和骨折风险的预测,骨龄分析;脂肪肝的无创评估及纤维化预测;肢端肥大症的诊断;甲状腺和垂体肿瘤分子生物学与病理的智能诊断等。AI在临床上的应用仍处于初期和探索阶段,相信在不久的将来,随着AI技术的快速发展和临床认可,AI会在内分泌代谢领域发挥举足轻重的作用。面对AI时代的来临,对医学领域来讲是一场脱胎换骨的变革。在新生事物面前,只有积极接受,有机融合才能得以生存,取得共赢。 Artificial intelligence(AI)is among the forefront science in recent years.The rapid development of intelligent medicine based on AI,a new concept in the medical field,has resulted in a large impact on traditional medicine.AI poses a great opportunity and also many challenges for clinical physicians.Recently,researches in the development and application of AI are increasingly published in the field of endocrinology,such as the diagnosis and prediction of diabetes and its complications,the optimizing treatment and blood glucose management,the development of artificial pancreas,the diagnosis and treatment of obesity,the prognosis of bariatric surgery,osteoporosis and fracture prediction,bone age analysis,non-invasive assessment of liver steatosis and fibrosis,diagnosis of acromegaly,pathological diagnosis of thyroid and pituitary tumors.Nevertheless,the clinical applications of AI for medicine are still at an initial stage.With the rapid development of AI,we are expecting that it will play a pivotal role in the field of endocrinology and metabolism in the future.This is a new era for medical community to embrace new technology.Only with the properly dealing with the innovation of AI,a win-win result could be achieved.
作者 林紫薇 吴山东 曲伸 Lin Ziwei;Wu Shandong;Qu Shen(Endocrinology and Metabolism Center,National Metabolic Management Center,Division of Metabolic Surgery for Obesity and Diabetes,Shanghai Tenth People′s Hospital,Tongji University School of Medicine,Shanghai 200072,China;Department of Radiology,Department of Biomedical Informatics,Department of Bioengineering,Intelligent Systems Program,University of Pittsburgh,Pittsburgh,PA 15213,USA)
出处 《中华内分泌代谢杂志》 CAS CSCD 北大核心 2021年第2期89-93,共5页 Chinese Journal of Endocrinology and Metabolism
基金 国家重点研发计划(2018YFC1314100) 国家自然科学基金青年科学基金(81500687) 同济大学中央高校学科交叉重点基金(22120190210) 上海市医药卫生发展基金会糖尿病临床研究项目(Ⅰ期07研究)。
关键词 人工智能 内分泌代谢 Artificial intelligence Endocrinology and metabolism
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