REU Site: MedIX: Medical Informatics Experiences in Undergraduate Research

医学信息学（MedIX）本科生研究经验（REU）站点计划的主要目标是让本科生参与具有挑战性的研究项目，鼓励他们继续研究生教育，并让学生接触跨学科研究，特别是在信息技术和医学的边界。MedIX REU网站运行三个夏天，每年夏天有十名学生在五名专门从事本科生研究的导师的监督下进行十周的研究。REU网站由两个跨学科实验室主持：德保罗大学的医学信息学实验室和芝加哥大学的成像研究所。研究环境为学生提供了与计算机科学家、医学物理学家和医生互动的机会。所有的项目都受到医学信息学领域最新研究问题的启发，并将解决与电子病历环境中图像数据的协调、工作流程驱动的获取以及图像和临床报告文本信息的后续处理相关的问题。学生作为学院-本科生团队的一部分，研究新的问题，从传统的图像处理（例如，肺癌的计算机辅助诊断、乳腺密度评估、年龄相关性黄斑变性预后）到结构化报告和放射学报告的自然语言处理，再到使用新型计算机视觉、人工智能、机器学习和数据科学算法对多种成像模式的图像进行可视化和注释。最终，这个REU网站将帮助支持对医学信息学感兴趣的学生，并扩大对计算机科学的参与。此外，每个项目都有长期的潜力来提高这些信息消费者的准确性、可靠性和效率，尤其是放射科医生。有关该计划的更多信息可在MedIX REU网站（http://facweb.cs.depaul.edu/research/vc/medix）.This)上找到，该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，认为值得支持。

The main objectives of the Medical Informatics (MedIX) Research Experience for Undergraduates (REU) Site program are to engage undergraduate students in challenging research projects, encourage them to pursue graduate education, and expose students to interdisciplinary research, especially at the border of information technology and medicine. The MedIX REU Site runs for three summers, with ten student participants doing research ten weeks each summer under the supervision of five mentors dedicated to undergraduate research. The REU Site is hosted by two interdisciplinary laboratories: the Medical Informatics Laboratory at DePaul University and the Imaging Research Institute at the University of Chicago. The research environment offers the students the opportunity to interact with computer scientists, medical physicists, and medical doctors. All of the projects are inspired by state-of-the-art research questions in medical informatics and will address issues related to the coordinated, workflow-driven acquisition of image data in an electronic medical record environment and the subsequent processing of the image and clinical report text information. Students work as part of faculty-undergraduate teams on new problems ranging from traditional image processing (e.g., computer-aided diagnosis for lung cancer, breast density assessment, age-related macular degeneration prognosis) to structured reporting and natural language processing of radiology reports to visualization and annotation of images from multiple imaging modalities using novel computer vision, artificial intelligence, machine learning, and data science algorithms. Ultimately, this REU site will help support students interested in medical informatics and broaden participation in computer science. In addition, each project has the long-term potential to improve the accuracy, reliability and efficiency of the consumers of this information, notably radiologists. More information on the program can be found at the MedIX REU Site web site (http://facweb.cs.depaul.edu/research/vc/medix).This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.