巨变端倪:人工智能在医疗影像诊断领域全面爆发

发布时间：2018-05-25 04:43

  本文选题：语音特征 + 语音识别领域　； 参考：《中国医学计算机成像杂志》2017年02期

【摘要】：正近两年来,深度学习在医疗领域都有超乎想象的突破。在语音识别领域,梅奥诊所与以色列语音分析公司Beyond Verbal合作的研究发现13个语音特征和冠心病存在相关性,其中一个语音特征与冠心病存在强相关。在自然语言处理领域,IBM的沃森机器人能够在17秒内阅读3469本医学专著,248000篇论文,69种治疗方案,61540次实验数据,106000份临床报告,并根据医生输入的病人指标信息,最终提出优选的个性化治疗方案。
[Abstract]:In the past two years, deep learning in the medical field has more than imaginable breakthroughs. In the field of speech recognition, a study by Mayo Clinic and Beyond Verbal, an Israeli voice analysis company, found that 13 speech features were associated with coronary heart disease, one of which was strongly correlated with coronary heart disease. In the field of natural language processing, IBM's Watson robot is able to read 3469 medical monographs in 17 seconds, including 248,000 papers, 69 treatments, and 106, 000 clinical reports based on patient indicators entered by doctors. Finally, an excellent individualized treatment scheme is put forward.
【分类号】：R445
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本文编号：1932163