Expert Radar
Dr. Kristen Yeom, MD
Dr. Kristen Yeom, MD
Pediatric Neuroradiologist, Phoenix Children's Hospital (Phoenix, AZ)
Bachelor of Science, University of Michigan
Dr. Kristen W. Yeom has specialized experience in the fields of Neuroradiology, Diagnostic Radiology, and Pediatric Radiology. They earned their BS in Biomedical Sciences from University of Michigan and their MD from University of Michigan Medical School. After completing their residency in Diagnostic Radiology at Ronald Reagan UCLA Medical Center, they went on to complete a fellowship in Diagnostic Neuroradiology at Stanford Health Care. Today, the expert holds certifications in Neuroradiology and Diagnostic Radiology. Previously, they held roles as an Associate Director and Professor at Stanford University School of Medicine. Currently, they work as a Pediatric Neuroradiologist and Director at Phoenix Children's Hospital and Adjunct Clinical Professor at Stanford University School of Medicine.
k*******@******.edu
(602) ***-****
Phoenix, Arizona
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Radar Metrics At A Glance
Expert Witness Activity
Plaintiff Cases
10
Defense Cases
16
Expert Challenges
3
Deposition Transcripts
Publications
214
Media & News
394
Social Media Mentions
Expert Witness Activity
Radar found 31 records
Case Name | Role | Filed Date |
|---|---|---|
Brian Henseler, et al. v. Mandarin Ob/Gyn, et al. | Expert Witness | 2023-09-06 |
James Floyd, et al. v. Allina Health System | Expert Witness | 2022-05-13 |
Celine Escobar-Santana, et al. v. State of Connecticut | Expert Witness | 2021-03-24 |
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Litigation Analytics
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Education
Institution | Degree Type |
|---|---|
University of Michigan | Bachelor of Science |
University of Michigan Medical School | Doctor of Medicine |
Work History
Title | Employer |
|---|---|
Pediatric Neuroradiologist | Phoenix Children's Hospital (Phoenix, AZ) |
Director | Phoenix Children's Hospital (Phoenix, AZ) |
Adjunct Clinical Professor | Stanford University School of Medicine (Stanford, CA) |
Publications
Radar found 214 records
Title | Type |
|---|---|
MRI-based radiomics for prognosis of non-midline, pediatric high-grade gliomas | Journal Article |
Improving machine learning based multiclass pediatric low grade glioma molecular subtype identification using large language models | Conference Proceeding |
Glioneuronal Tumors | Review |
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Media & News
Radar found 394 records
Title | Description |
|---|
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