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活动日期： 2024年8月16日

Below are the speakers' details: 

Dr. Yan-Ran Joyce Wang

Postdoc research fellow in Center for Artificial Intelligence in Medicine & Imaging, Stanford University

Talk title: AI-Enabled Healthcare:  Exploring Intelligent Technologies in the Diagnosis of Cancer and Cardiovascular Diseases

Biography: Dr. Yan-Ran Joyce Wang is a postdoc research fellow at Stanford Center for Artificial Intelligence in Medicine & Imaging - Stanford AIMI. Her primary focus is on machine learning in biomedicine and using artificial intelligence (AI) to provide more equitable and precise solutions in medicine. Dr. Wang served as both first and corresponding author in prestigious journals including Nature Medicine, Cancer Cell, European Journal of Nuclear Medicine and Molecular Imaging (EJNMMI), and Radiology: Artificial Intelligence. She has also presented multiple academic papers at leading computer conferences such as CVPR, ICIP, AAAI, and ACM Multimedia.

In the field of modern medical imaging, radiographic imaging, particularly Magnetic Resonance Imaging (MRI), contains a treasure trove of information. This includes not only clearly visible anatomical structures but also numerous subtle features that surpass the limits of human vision. These features, though small, are critical as they can reveal early signs of diseases and underlying biological mechanisms, essential for achieving precision medicine. In recent years, the rapid development of Artificial Intelligence (AI) technology has paved new pathways for mining and interpreting these concealed details. AI, especially deep learning algorithms, has powerful pattern recognition capabilities that enable the automatic extraction of complex features from vast amounts of MRI images, identifying subtle changes that are difficult to detect with the naked eye. This significantly enhances the accuracy and efficiency of diagnosing cancers and cardiovascular diseases. The application of this technology not only aids doctors in making faster and more accurate diagnostic decisions but also allows for the creation of personalized treatment plans based on individual differences, truly realizing the vision of "precision medicine." As research deepens and technology progresses, the application of AI in medical image analysis is becoming increasingly mature, gradually transforming traditional diagnostic processes and ushering in a new era of intelligent diagnostics. In this era, AI is not just a tool to assist doctors but also a powerful driver for advancing medicine and improving disease prevention and control. By continuously optimizing algorithmic models and integrating clinical practice, we anticipate that AI will bring revolutionary breakthroughs in the early detection, precise diagnosis, and personalized treatment of cancers and cardiovascular diseases, ultimately benefiting a broad range of patients and constructing a healthier, smarter healthcare system.