Dr. David Larson

Professor

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Biography

David B. Larson, MD, MBA, is a Professor of Radiology specializing in Pediatric Radiology at Stanford University. His career is focused on managing and improving complex sociotechnical healthcare systems to drive continuous operational improvement that benefits patients and clinicians. Dr. Larson's research and leadership activities encompass a broad range of topics, including the development of process control systems to optimize CT radiation dose and initiatives to enhance peer review and peer learning. He has founded and directed numerous improvement programs, including the Realizing Improvement Team Empowerment (RITE) program and the Clinical Effectiveness Leadership Training (CELT). As a leader, he has served in various senior roles within Stanford’s Department of Radiology and is currently the Director of the AI Development Evaluation (AIDE) Lab. Dr. Larson also actively contributes to the American College of Radiology and has served on its Board of Trustees. His dedication to education and quality assurance in radiology is evident, having sponsored various academic initiatives and annual improvement summits since 2016.

Research Interests

Experience

Professor

2023-01-15 — Present

Stanford University • Stanford, California

Professorship in Radiology with a focus on Pediatric Radiology.

Director

— Present

Stanford Radiology AI Development Evaluation (AIDE) Lab • Stanford, California

Leading initiatives in the application of artificial intelligence in radiology.

Courses

RAD 299 RAD 280 RAD 399 RAD 370 RAD 101 RAD 199

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.