Dr. Geoffrey Riley, MD

Dr. Geoffrey Riley, MD

Clinical Professor, Stanford University School of Medicine (Stanford, CA)

Doctor of Medicine, Creighton University School of Medicine

Dr. Geoffrey M. Riley has experience in Radiology, specializing in Musculoskeletal Radiology and Diagnostic Radiology. He earned his BA in Biological Sciences from the University of California, Santa Barbara, and his MD from Creighton University School of Medicine. After completing his residency in Diagnostic Radiology, he completed a fellowship in Magnetic Resonance Imaging at the University of California Davis. Today, this expert is board certified in Diagnostic Radiology. Formerly, he was the Director of Radiology Continuing Medical Education and Community Radiology and an Associate Dean of Academic Affairs at Stanford University School of Medicine. Currently, he is a Radiologist and Clinical Professor at Stanford University School of Medicine.

g********@******.edu

(650) ***-****

Stanford, California

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Radar Metrics At A Glance

Expert Witness Activity

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Plaintiff Cases

8

Defense Cases

15

Expert Challenges

4

Deposition Transcripts

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Publications

31

Media & News

238

Social Media Mentions

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Expert Witness Activity

Radar found 45 records

Case Name

Role

Filed Date

Jose M. Vera, et al. v. Billie L. Whittaker

Expert Witness

2020-05-19

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Litigation Analytics

Retained By

Defense

Plaintiff

65%35%

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Activity by state

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Education

Institution

Degree Type

Creighton University School of Medicine

Doctor of Medicine

University of California, Santa Barbara

Bachelor of Arts

Work History

Title

Employer

Clinical Professor

Stanford University School of Medicine (Stanford, CA)

Physician

Stanford University School of Medicine (Stanford, CA)

Associate Chief

Kaiser Permanente Medical Group

Publications

Radar found 31 records

Title

Type

MRI of Soft-Tissue Tumors: What to Include in the Report

Journal Article

Society of Skeletal Radiology– white paper. Guidelines for the diagnostic management of incidental solitary bone lesions on CT and MRI in adults: bone reporting and data system (Bone-RADS)

Review

Automating Scoliosis Measurements in Radiographic Studies with Machine Learning: Comparing Artificial Intelligence and Clinical Reports

Journal Article

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Media & News

Radar found 238 records

Title

Description

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