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April 10-11, 2018: Training
April 11-13, 2018: Tutorials & Conference
Beijing, CN

Schedule: 保健与医疗 (Health and Medicine) sessions

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14:5015:30 Thursday, April 12, 2018
Enhao Gong (Stanford University | Subtle Medical), Greg Zaharchuk (Stanford University)
人工智能与深度学习正在快速改变医疗产业发展。本讲座将介绍斯坦福的深度学习领域学者与斯坦福医院医生、教授合作研发的技术,以及如何快速地优化临床医学影像的使用。人工智能技术让医学影像的采集与处理更加快速、高效、便捷与智能。 具体技术应用包括: 1. 如何通过人工智能优化临床影像流程,优化诊断治疗规划 2. 如何通过人工智能与深度学习预测神经疾病病人的预后和疾病发展 3. 如何通过人工智能与深度学习技术加速神经影像流程 4. 如何通过人工智能与深度学习技术显著减少放射性与显影剂使用 Read more.
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16:2017:00 Thursday, April 12, 2018
Arjun Bansal (Intel)
Precision medicine promises to revolutionize healthcare by delivering better health outcomes at lower cost by eliminating trial-and-error medicine, and Intel is working to make this a reality. Arjun Bansal shares emerging algorithms and models used to analyze healthcare data, including electronic health records, medical images, and pharmaceutical and genomics datasets. Read more.
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16:2017:00 Friday, April 13, 2018
实施人工智能 (Implementing AI), 英文讲话 (Presented in English)
Location: 多功能厅2(Function Room 2) Level: Intermediate
Nishant Sahay (Wipro Limited)
Deep learning with ConvNet in particular has emerged as a promising tool in medical research labs and diagnostic centers to help analyze images and scans, and systems are now surpassing human capability for manual inspection. Nishant Sahay explains how to apply deep learning to analyze high-end microscope images and X-ray scans to provide accurate diagnosis. Read more.