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Real-Time Artificial Intelligence-Based Optical Diagnosis of Neoplastic Polyps during Colonoscopy.实时基于人工智能的结肠镜检查中肿瘤性息肉的光学诊断。
NEJM Evid. 2022 Jun;1(6):EVIDoa2200003. doi: 10.1056/EVIDoa2200003. Epub 2022 Apr 13.
2
Computer-aided diagnosis for optical diagnosis of diminutive colorectal polyps including sessile serrated lesions: a real-time comparison with screening endoscopists.计算机辅助诊断在微小结直肠息肉（包括无蒂锯齿状病变）的光学诊断中的应用：与筛查内镜医师的实时比较。
Endoscopy. 2023 Aug;55(8):756-765. doi: 10.1055/a-2009-3990. Epub 2023 Jan 9.
3
Computer-aided classification of colorectal segments during colonoscopy: a deep learning approach based on images of a magnetic endoscopic positioning device.基于磁内镜定位装置图像的深度学习方法在结肠镜检查中对结直肠段的自动分类
Scand J Gastroenterol. 2023 Jun;58(6):649-655. doi: 10.1080/00365521.2022.2151320. Epub 2022 Dec 2.
4
In vivo computer-aided diagnosis of colorectal polyps using white light endoscopy.使用白光内镜对结直肠息肉进行体内计算机辅助诊断。
Endosc Int Open. 2022 Sep 14;10(9):E1201-E1207. doi: 10.1055/a-1881-3178. eCollection 2022 Sep.
5
Conditional inference tree models to perceive depth of invasion in T1 colorectal cancer.条件推理树模型在 T1 结直肠癌侵袭深度中的应用。
Surg Endosc. 2022 Dec;36(12):9234-9243. doi: 10.1007/s00464-022-09414-4. Epub 2022 Aug 1.
6
Artificial Intelligence Allows Leaving-In-Situ Colorectal Polyps.人工智能可实现结直肠息肉的原位切除。
Clin Gastroenterol Hepatol. 2022 Nov;20(11):2505-2513.e4. doi: 10.1016/j.cgh.2022.04.045. Epub 2022 Jul 11.
7
No-Code Platform-Based Deep-Learning Models for Prediction of Colorectal Polyp Histology from White-Light Endoscopy Images: Development and Performance Verification.基于无代码平台的深度学习模型用于从白光内镜图像预测大肠息肉组织学：开发与性能验证
J Pers Med. 2022 Jun 12;12(6):963. doi: 10.3390/jpm12060963.
8
Current Status and Future Perspectives of Artificial Intelligence in Colonoscopy.人工智能在结肠镜检查中的现状与未来展望
J Clin Med. 2022 May 22;11(10):2923. doi: 10.3390/jcm11102923.
9
Estimating colorectal polyp size with a virtual scale endoscope and visual estimation during colonoscopy: Prospective, preliminary comparison of accuracy.使用虚拟内镜和结肠镜检查中的目测估计结直肠息肉大小：准确性的前瞻性初步比较。
Dig Endosc. 2022 Nov;34(7):1471-1477. doi: 10.1111/den.14351. Epub 2022 Jun 27.
10
Artificial intelligence-assisted optical diagnosis for the resect-and-discard strategy in clinical practice: the Artificial intelligence BLI Characterization (ABC) study.人工智能辅助光学诊断在临床实践中的“切除-丢弃”策略：人工智能 BLI 特征（ABC）研究。
Endoscopy. 2023 Jan;55(1):14-22. doi: 10.1055/a-1852-0330. Epub 2022 May 13.

Advances in artificial intelligence and computer science for computer-aided diagnosis of colorectal polyps: current status.

作者信息

van Bokhorst Querijn N E, Houwen Britt B S L, Hazewinkel Yark, Fockens Paul, Dekker Evelien

机构信息

Department of Gastroenterology and Hepatology, Amsterdam University Medical Centers, location Academic Medical Center, Amsterdam, the Netherlands.

Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam, the Netherlands.

出版信息

Endosc Int Open. 2023 Aug 16;11(8):E752-E767. doi: 10.1055/a-2098-1999. eCollection 2023 Aug.

DOI:10.1055/a-2098-1999
PMID:37593158
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10431975/
Abstract
摘要