人工智能电子阴道镜辅助诊断系统对宫颈癌筛查的现实挑战和未来机遇
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摘要
我国基层较差的阴道镜诊断水平一直是宫颈癌筛查中存在的难点和痛点。目前,随着人工智能在医学诊断学领域的发展,人工智能电子阴道镜辅助诊断系统的出现将解决我国基层阴道镜医生资源不足和能力提升问题,有助于提高宫颈癌筛查质量。该研究介绍了人工智能的概念和发展状况、人工智能电子阴道镜辅助诊断系统的研究意义以及研究进展,探讨其对宫颈癌筛查的现实挑战和未来机遇。
Ii has been a major problem for screening of cervical cancer with colposcopy in grassroots level health institutions in China. At present,with the development of artificial intelligence in the field of medical diagnostics,the emergence of artificial intelligence electronic colposcope assisted diagnosis system will solve the problems,the performance of colposcopy and the quality of cervical cancer screening would be improved. This article introduces the concept and development status of artificial intelligence,the researches and progress of artificial intelligence electronic colposcopy assisted diagnosis system;and the current challenges and future prospective for its application are also discussed in this article.
Ii has been a major problem for screening of cervical cancer with colposcopy in grassroots level health institutions in China. At present,with the development of artificial intelligence in the field of medical diagnostics,the emergence of artificial intelligence electronic colposcope assisted diagnosis system will solve the problems,the performance of colposcopy and the quality of cervical cancer screening would be improved. This article introduces the concept and development status of artificial intelligence,the researches and progress of artificial intelligence electronic colposcopy assisted diagnosis system;and the current challenges and future prospective for its application are also discussed in this article.
引文
[1]Zhou L,Zhou HJ.Status of cervical cancer screening in developing countries[J].Journal of Southeast University(Medical Science Edition),2018,37(3):515-519.[周黎,周怀君.发展中国家宫颈癌筛查的现状[J].东南大学学报(医学版),2018,37(3):515-519.]
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[5]Liang H,Tsui BY,Ni H,et al.Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence[J].Nat Med,2019,25(3):433-438.
[6]Attia ZI,Kapa S,Lopez-Jimenez F,et al.Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram[J].Nat Med,2019,25(1):70-74.
[7]Ravizza S,Huschto T,Adamov A,et al.Predicting the early risk of chronic kidney disease in patients with diabetes using real-world data[J].Nat Med,2019,25(1):57-59.
[8]Gurovich Y,Hanani Y,Bar O,et al.Identifying facial phenotypes of genetic disorders using deep learning[J].Nat Med,2019,25(1):60-64.
[9]FDA.FDA permits marketing of artificial intelligencebased device to detect certain diabetes-related eye problems[EB/OL].https://www.fda.gov/NewsEvents/Newsroom/PressAnnouncements/ucm604357.htm,2018.
[10]Bi WL,Hosny A,Schabath MB,et al.Artificial intelligence in cancer imaging:clinical challenges and applications[J].CA Cancer J Clin,2019,69(2):127-157.
[11]Xu XQ,Zhang L,Hu SY,et al.Analysis of the role of HPVload in random biopsy under colposcope[J].Chinese Journal of Preventive Medicine,2018,52(5):475-479.[徐小倩,张莉,胡尚英,等.HPV载量在阴道镜下随机活检中的作用分析[J].中华预防医学杂志,2018,52(5):475-479.]
[12]Wentzensen N,Walker JL,Gold MA,et al.Multiple biopsies and detection of cervical cancer precursors at colposcopy[J].J Clin Oncol,2015,33(1):83-89.
[13]Sato M,Horie K,Hara A,et al.Application of deep learning to the classification of images from colposcopy[J].Oncol Lett,2018,15(3):3518-3523.
[14]Tao X,Han Z,Huang X,et al.Multimodal deep learning for cervical dysplasia diagnosis[A].Proceedings of InterNational Conference on Medical Image Computing&Computer-assisted Intervention,2016[C].Athens:MICCAI,2016.
[15]Asiedu M N,Simhal A,Chaudhary U,et al.Development of algorithms for automated detection of cervical pre-cancers with a low-cost,point-of-care,pocket colposcope[J].IEEE Trans Biomed Eng,2018,Dec 18.doi:10.1109/TBME.2018.2887208.[Epub ahead of print]
[16]Hu L,Bell D,Antani S,et al.An observational study of deep learning and automated evaluation of cervical images for cancer screening[J].J Natl Cancer Inst,2019,Jan 10.doi:10.1093/jnci/djy225.[Epub ahead of print]
[17]Xue P,Qiao YL,Jiang Y.Application of artificial intelligence in medical endoscopy diagnosis[J].Chinese Journal of Oncology,2018,40(12):890-893.[薛鹏,乔友林,江宇.人工智能在医学内窥镜诊断中的应用[J].中华肿瘤杂志,2018,40(12):890-893.]
[18]Zhao F,Qiao Y.Cervical cancer prevention in China:a key to cancer control[J].Lancet,2019,393(10175):969-970.
[19]WHO.A global call for action towards the elimination of cervical cancer[EB/OL].https://www.who.int/cancer/cervical-cancer,2018.
[2]Zhao J,Wei LH.China’s colposcopy technology training where to go[J].Chinese Journal of Clinical Obstetrics and Gynecology,2019,20(1):1-2.[赵昀,魏丽惠.我国阴道镜技术培训何去何从[J].中国妇产科临床杂志,2019,20(1):1-2.]
[3]Zhao YQ.Discussion on cervical cancer screening technology and histological biopsy in colposcopy in different resource areas of China[D].Beijing:Peking Union Medical College,2016.[赵宇倩.适合中国不同资源地区的宫颈癌筛查技术及阴道镜检查中组织学活检的探讨[D].北京:北京协和医学院,2016.]
[4]William W,Ware A,Basaza-Ejiri AH,et al.A review of image analysis and machine learning techniques for automated cervical cancer screening from pap-smear images[J].Comput Methods Programs Biomed,2018,164:15-22.
[5]Liang H,Tsui BY,Ni H,et al.Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence[J].Nat Med,2019,25(3):433-438.
[6]Attia ZI,Kapa S,Lopez-Jimenez F,et al.Screening for cardiac contractile dysfunction using an artificial intelligence-enabled electrocardiogram[J].Nat Med,2019,25(1):70-74.
[7]Ravizza S,Huschto T,Adamov A,et al.Predicting the early risk of chronic kidney disease in patients with diabetes using real-world data[J].Nat Med,2019,25(1):57-59.
[8]Gurovich Y,Hanani Y,Bar O,et al.Identifying facial phenotypes of genetic disorders using deep learning[J].Nat Med,2019,25(1):60-64.
[9]FDA.FDA permits marketing of artificial intelligencebased device to detect certain diabetes-related eye problems[EB/OL].https://www.fda.gov/NewsEvents/Newsroom/PressAnnouncements/ucm604357.htm,2018.
[10]Bi WL,Hosny A,Schabath MB,et al.Artificial intelligence in cancer imaging:clinical challenges and applications[J].CA Cancer J Clin,2019,69(2):127-157.
[11]Xu XQ,Zhang L,Hu SY,et al.Analysis of the role of HPVload in random biopsy under colposcope[J].Chinese Journal of Preventive Medicine,2018,52(5):475-479.[徐小倩,张莉,胡尚英,等.HPV载量在阴道镜下随机活检中的作用分析[J].中华预防医学杂志,2018,52(5):475-479.]
[12]Wentzensen N,Walker JL,Gold MA,et al.Multiple biopsies and detection of cervical cancer precursors at colposcopy[J].J Clin Oncol,2015,33(1):83-89.
[13]Sato M,Horie K,Hara A,et al.Application of deep learning to the classification of images from colposcopy[J].Oncol Lett,2018,15(3):3518-3523.
[14]Tao X,Han Z,Huang X,et al.Multimodal deep learning for cervical dysplasia diagnosis[A].Proceedings of InterNational Conference on Medical Image Computing&Computer-assisted Intervention,2016[C].Athens:MICCAI,2016.
[15]Asiedu M N,Simhal A,Chaudhary U,et al.Development of algorithms for automated detection of cervical pre-cancers with a low-cost,point-of-care,pocket colposcope[J].IEEE Trans Biomed Eng,2018,Dec 18.doi:10.1109/TBME.2018.2887208.[Epub ahead of print]
[16]Hu L,Bell D,Antani S,et al.An observational study of deep learning and automated evaluation of cervical images for cancer screening[J].J Natl Cancer Inst,2019,Jan 10.doi:10.1093/jnci/djy225.[Epub ahead of print]
[17]Xue P,Qiao YL,Jiang Y.Application of artificial intelligence in medical endoscopy diagnosis[J].Chinese Journal of Oncology,2018,40(12):890-893.[薛鹏,乔友林,江宇.人工智能在医学内窥镜诊断中的应用[J].中华肿瘤杂志,2018,40(12):890-893.]
[18]Zhao F,Qiao Y.Cervical cancer prevention in China:a key to cancer control[J].Lancet,2019,393(10175):969-970.
[19]WHO.A global call for action towards the elimination of cervical cancer[EB/OL].https://www.who.int/cancer/cervical-cancer,2018.