REU Site: MedIX: Medical Informatics Experiences in Undergraduate Research

医学信息学（MedIX）本科生研究经验（REU）网站计划的主要目标是让本科生参与具有挑战性的研究项目，鼓励他们追求研究生教育，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，有十名学生参与者做研究十个星期，每年夏天的五个导师致力于本科研究的监督下。REU网站由两个跨学科实验室主办：德保罗大学医学信息学实验室和芝加哥大学成像研究所。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。所有项目的灵感都来自成像信息学中最先进的研究问题。学生作为学院本科团队的一部分，研究新的问题，从传统的图像处理（例如，计算机辅助诊断、乳腺密度评估、癌症检测）到放射学报告的结构化报告和自然语言处理，到工作流和过程再设计到用于图像注释和标记的数据挖掘和基于本体的装置的应用（例如，肺结节检测和解释）。最终，这个REU网站将帮助支持对成像信息学感兴趣的学生，扩大对计算机科学的参与。此外，每个项目都具有提高世界各地人民医疗保健质量的长期潜力。有关该计划的更多信息，请访问MedIX REU网站（http：//facweb.cs.depaul.edu/research/vc/medix）。

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 imaging informatics. Students work as part of faculty-undergraduate teams on new problems ranging from traditional image processing (e.g., computer-aided diagnosis, breast density assessment, cancer detection) to structured reporting and natural language processing of radiology reports, to workflow and process re-engineering to the application of data mining and ontology-based means for image annotation and markup (e.g., lung nodule detection and interpretation). Ultimately, this REU site will help support students interested in imaging informatics, broaden participation in computer science. In addition, each project has the long-term potential to increase the quality of healthcare available to people everywhere. More information on the program can be found at the MedIX REU Site web site (http://facweb.cs.depaul.edu/research/vc/medix).