Dr. Curtis Langlotz

Professor

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Biography

Curtis Langlotz is a Professor of Radiology and Biomedical Data Science at Stanford University, where he also serves as the Senior Associate Vice Provost for Research. His research focuses on the integration of machine learning and deep neural networks in diagnostic imaging, aiming to enhance disease detection and minimize diagnostic errors. Langlotz is the Director of the Center for Artificial Intelligence in Medicine and Imaging and has published over 200 scholarly articles, contributing significantly to the fields of Radiology and Biomedical Informatics. He has played a pivotal role in initiatives to establish standards for radiology communication and has founded multiple health information technology companies. Langlotz obtained his MD and PhD from Stanford University, alongside a Master's in Computer Science. He is notably active in various professional organizations and has received numerous awards for his contributions to medical informatics and radiology.

Research Interests

Experience

Professor

2004-01-01 — Present

Stanford University • Stanford, California

Professor of Radiology and Biomedical Data Science at Stanford University.

Director

2018-01-01 — Present

Center for Artificial Intelligence in Medicine and Imaging • Stanford University

Director of the Center for Artificial Intelligence in Medicine and Imaging.

Awards

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Lee B. Lusted Research Prize

1986-01-01
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Lifetime Achievement Award

2017-01-01

Requirements for Stanford University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:26
Reading
Required:26
Writing
Required:26
Speaking
Required:26
Total
Required:100
GRE General
Verbal
Required:160
Quantitative
Required:165
Analytical Writing
Required:4.5
Overall
Required:4.5
Prerequisites
Bachelor degree from an accredited institution Strong background in mathematics and programming
Application Checklist
  • Statement of Purpose
  • Three letters of recommendation
  • Official transcripts
  • Resume/CV
Specialization Notes

The Computer Science department emphasizes research potential. GRE General is currently optional but recommended for some tracks.