With more and more colleges and universities set up artificial intelligence undergraduate major,the cultivation of artificial intelligence undergraduate has become a hot topic.The cultivation of AI undergraduates shou...With more and more colleges and universities set up artificial intelligence undergraduate major,the cultivation of artificial intelligence undergraduate has become a hot topic.The cultivation of AI undergraduates should draw on the successful experience of software engineering major,pay attention to cooperation with enterprises,and introduce case and project teaching.The paper presents one curriculum system of AI undergraduates major and practice courses based on Huawei’s ModelArts platform.展开更多
目的探索并验证基于华为云ModelArts平台构建的深度学习模型在宫颈液基细胞学(liquid-based cytology,LBC)非典型细胞诊断中的应用价值,并评估其对不同诊断经验医师的辅助效果。方法回顾性分析2020年东莞市人民医院1044例宫颈脱落细胞...目的探索并验证基于华为云ModelArts平台构建的深度学习模型在宫颈液基细胞学(liquid-based cytology,LBC)非典型细胞诊断中的应用价值,并评估其对不同诊断经验医师的辅助效果。方法回顾性分析2020年东莞市人民医院1044例宫颈脱落细胞学标本,采用华为云ModelArts平台开发的人工智能(artifical intelligence,AI)辅助诊断系统与初级、中级、高级医师进行诊断比对,计算灵敏度、特异度、精确率、符合率、曲线下面积(area under the curve,AUC)等指标,评估AI系统的诊断效能及其对不同年资医师的辅助诊断效果。采用McNemar检验比较AI系统与人工诊断的差异。结果在1044例宫颈脱落细胞学标本中,AI系统在非典型细胞检出的灵敏度和特异度分别为98.96%和89.15%,均高于初级医师(81.95%和91.81%)。AI系统的总体诊断精确率为93.68%,显著高于初级医师(87.26%,P<0.001)。AI辅助可显著提高初级医师的诊断性能,灵敏度从80.1%提升至96.5%,特异度从85.6%提升至92.3%。结论本研究构建的AI辅助宫颈细胞学诊断系统性能优越,尤其能显著提高初级医师的诊断水平,具有良好的临床应用前景。展开更多
文摘With more and more colleges and universities set up artificial intelligence undergraduate major,the cultivation of artificial intelligence undergraduate has become a hot topic.The cultivation of AI undergraduates should draw on the successful experience of software engineering major,pay attention to cooperation with enterprises,and introduce case and project teaching.The paper presents one curriculum system of AI undergraduates major and practice courses based on Huawei’s ModelArts platform.
文摘目的探索并验证基于华为云ModelArts平台构建的深度学习模型在宫颈液基细胞学(liquid-based cytology,LBC)非典型细胞诊断中的应用价值,并评估其对不同诊断经验医师的辅助效果。方法回顾性分析2020年东莞市人民医院1044例宫颈脱落细胞学标本,采用华为云ModelArts平台开发的人工智能(artifical intelligence,AI)辅助诊断系统与初级、中级、高级医师进行诊断比对,计算灵敏度、特异度、精确率、符合率、曲线下面积(area under the curve,AUC)等指标,评估AI系统的诊断效能及其对不同年资医师的辅助诊断效果。采用McNemar检验比较AI系统与人工诊断的差异。结果在1044例宫颈脱落细胞学标本中,AI系统在非典型细胞检出的灵敏度和特异度分别为98.96%和89.15%,均高于初级医师(81.95%和91.81%)。AI系统的总体诊断精确率为93.68%,显著高于初级医师(87.26%,P<0.001)。AI辅助可显著提高初级医师的诊断性能,灵敏度从80.1%提升至96.5%,特异度从85.6%提升至92.3%。结论本研究构建的AI辅助宫颈细胞学诊断系统性能优越,尤其能显著提高初级医师的诊断水平,具有良好的临床应用前景。
