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在当前医疗数据体系中,诊断结果由人工完成的医学影像诊断(X线、CT、MRI 等)数据约占90%,这个比例仍在逐年增加。全国医学影像的从业人员处于短缺状态,与影像数据的增长之间存在相当大的不平衡[1]。这表明医学影像医师会承担越来越大的数据分析压力。人工智能(artificial intelligence,AI)与医学影像的结合,将帮助医师进行诊断,提高医学影像的诊断效率,因此AI在医学影像诊断方面的应用成为较有发展前景的领域。
医学影像人工智能新进展
New progress in medical imaging artificial intelligence
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摘要: 随着人工智能(AI)与各个领域的结合,AI已经成为当今社会的研究热点。目前医疗行业人员的短缺及医学诊断准确率的提高使得AI在医疗行业的应用非常重要,尤其是医学影像诊断方面。AI辅助诊断将会提高疾病的检出率,为临床医师提供更有效的诊断和治疗信息,同时减少影像医师的重复工作,节省出更多的时间研究疑难病例。笔者简要介绍医学影像AI,结合国内外最新和最有影响力的研究成果,阐述医学影像AI的研究新进展。
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关键词:
- 人工智能 /
- 诊断,计算机辅助 /
- 体层摄影术,发射型计算机 /
- 磁共振成像 /
- 正电子发射断层显像术 /
- 医学影像
Abstract: With its application to various fields, artificial intelligence (AI) has become a research hotspot in today's society. The current shortage of personnel in the medical industry and the increased rated of medical diagnosis are crucial for AI application in the medical industry, especially in imaging diagnosis. AI-assisted diagnosis can improve the detection rate of diseases, provide effective diagnostic and treatment information for clinicians, and reduce the repetitive work of imaging physicians, thereby saving time for the research of difficult cases. In this paper, medical imaging AI is briefly introduced, and the latest and most influential research results at home and abroad are combined to explore the new development of medical imaging AI. -
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