Steven B Soliman, DO, RMSK, FAIUM, FAOCR

Steven B. Soliman
Clinical Associate Professor of Radiology
Program Director, Musculoskeletal Radiology Fellowship Program
Program Associate
Clinical Research Lead for Musculoskeletal Radiology
Medical School
University of Michigan/Michigan Medicine
Radiology
1500 E. Medical Center Drive 2910 Taubman Center
Ann Arbor, MI 48109-5326
[email protected]
Available to mentor
Steven B Soliman, DO, RMSK, FAIUM, FAOCR
Steven B. Soliman
Clinical Associate Professor
  • About
  • Links
  • Qualifications
  • Center Memberships
  • Research Overview
  • Recent Publications
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  • About

    Dr. Steven Soliman is an associate professor and a board-certified, fellowship-trained musculoskeletal radiologist at the University of Michigan/Michigan Medicine. He serves as the Program Director of the MSK Radiology Fellowship, Program Associate – Clinical Research Lead for MSK Radiology, and the Director of MSK Ultrasound. His areas of expertise include musculoskeletal radiology, musculoskeletal ultrasound, MRI, sports injuries, diabetes-related musculoskeletal complications, foot and ankle imaging/posterior tibial tendon dysfunction, peripheral nerve imaging, artificial intelligence/machine learning, arthritis, and minimally invasive ultrasound-guided pain procedures and biopsies.

    Dr. Soliman is actively involved in clinical research, including NIH-funded research studies and clinical trials. His research focuses on Musculoskeletal Ultrasound and MRI, Musculoskeletal Complications in Diabetes and Obesity, Progressive Collapsing Foot Deformity/Posterior Tibial Tendon Dysfunction/Adult Acquired Flat Foot Deformity, Artificial Intelligence/Machine Learning, Histotripsy/Sarcomas, and Sports Injuries.

    He is particularly interested in the early detection of obesity- and diabetes-related MSK complications using ultrasound. His research aims to elucidate the mechanism and impact of increased skeletal muscle echo intensity (hyperechoic) in the development of type 2 diabetes. Dr. Soliman's team is pioneering the use of artificial intelligence/machine learning to analyze skeletal muscle as a noninvasive biomarker, an innovative approach designed to identify type 2 diabetes and detect lower muscle mass before the onset of clinically apparent metabolic dysfunction.

    Links

    • Steven Soliman's Michigan Research Experts Link
    • University of Michigan/Michigan Medicine Patient Care Profile
    • Steven Soliman's Bibliography
    • PubMed Publications for Steven Soliman
    • Steven Soliman ResearchGate
    • Steven Soliman Doximity
    • ORCiD
    • Histotripsy Group
    • University of Michigan, Michigan Institute for Data & AI in Society (MIDAS)
    • AIUM Blog. THE SCAN.

    Qualifications

    • Musculoskeletal Radiology Fellow
      Henry Ford Hospital/Wayne State University, Radiology, Detroit, United States
      2009 - 2010
      Clinical Fellowship
    • Chief Resident
      Beaumont Hospital – Trenton/Michigan State University (formerly, Oakwood Southshore Medical Center), Radiology, Trenton, United States
      2008 - 2009
      Chief Resident
    • Diagnostic Radiology Resident
      Beaumont Hospital – Trenton/Michigan State University (formerly, Oakwood Southshore Medical Center), Radiology, Trenton, United States
      2005 - 2009
      Residency
    • Transitional Year Intern
      Beaumont Hospital – Trenton/Michigan State University (formerly, Oakwood Southshore Medical Center), Radiology, Trenton, United States
      2004 - 2005
      Internship
    • FAIUM, Fellowship in the American Institute of Ultrasound in Medicine
      AIUM, United States
      2024
    • FAOCR, Fellowship in the American Osteopathic College of Radiology
      American Osteopathic College of Radiology, United States
      2023
    • Registered in Musculoskeletal (RMSK) Sonography
      The Alliance for Physician Certification & Advancement, (formerly, American Registry for Diagnostic Medical Sonography), United States
      2014
      Other
    • Doctor of Osteopathic Medicine, D.O., Biological Sciences
      Michigan State University College of Osteopathic Medicine, East Lansing, MI, United States
      2000 - 2004
    • Bachelor of Science, B.S., Biological Sciences
      Colorado State University, Fort Collins, CO, United States
      1996 - 2000

    Center Memberships

    • Center Member
      Samuel and Jean Frankel Cardiovascular Center
    • Center Member
      Biosciences Initiative
    • Center Member
      Caswell Diabetes Institute

    Research Overview

    - Musculoskeletal Ultrasound & MRI
    - Musculoskeletal Complications in Diabetes and Obesity
    - Progressive collapsing foot deformity/posterior tibial tendon dysfunction/adult acquired flat foot deformity
    - Artificial Intelligence/Machine Learning
    - Sports Injuries
    - Peripheral Nerve Imaging
    - Ultrasound-guided Musculoskeletal Procedures

    Recent Publications

    See All Publications
    • Journal Article
      Muscle Ultrasound: A Novel Noninvasive Tool for Early Detection of Developing Insulin Resistance and Lower Muscle Mass in Obesity
      Soliman SB, Chugh OK, Leuteneker JE, Tuska B, Ye W, Zhang T, Rode T, Howton SM, Buras ED, Horowitz JF. Journal of Ultrasound in Medicine, 2026 Feb 23; 44 (10): 1883 - 1892. DOI:10.1002/jum.16741
    • Journal Article
      Skeletal Muscle Ultrasound Radiomics and Machine Learning for the Earlier Detection of Type 2 Diabetes Mellitus.
      Khan S, Klochko CL, Cooper S, Franz B, Wolf L, Alessio A, Soliman SB. J Med Ultrasound, 2025 33 (2): 116 - 124. DOI:10.4103/jmu.jmu_12_24
      PMID: PMC12161692
    • Journal Article
      Ultrasound-guided joint interventions of the lower extremity
      Patel A, Chadwick N, von Beck K, Goswami P, Soliman SB, Patel A, McGill KC. Skeletal Radiology, 2026 Feb 23; 52 (5): 911 - 921. DOI:10.1007/s00256-022-04168-5
    • Journal Article
      The sonographic quantitative assessment of the deltoid muscle to detect type 2 diabetes mellitus: a potential noninvasive and sensitive screening method?
      Rosen KA, Thodge A, Tang A, Franz BM, Klochko CL, Soliman SB. BMC Endocrine Disorders, 2026 Feb 23; 22 (1): DOI:10.1186/s12902-022-01107-2
    • Journal Article
      Ultrasound evaluations and guided procedures of the painful joint arthroplasty
      Soliman SB, Davis JJ, Muh SJ, Vohra ST, Patel A, van Holsbeeck MT. Skeletal Radiology, 2026 Feb 23; 51 (11): 2105 - 2120. DOI:10.1007/s00256-022-04080-y
    • Journal Article
      Presurgical tear characteristics and estimated shear modulus as predictors of repair integrity and shoulder function one year after rotator cuff repair
      Ruder MC, Lawrence RL, Soliman SB, Bey MJ. Jses International, 2026 Feb 23; 6 (1): 62 - 69. DOI:10.1016/j.jseint.2021.09.010
    • Journal Article
      Sonographic evaluation of the association between calcific tendinopathy and rotator cuff tear: a case-controlled comparison
      Laucis NC, Rosen KA, Thodge A, Leschied JR, Klochko CL, Soliman SB. Clinical Rheumatology, 2026 Feb 23; 40 (7): 2897 - 2905. DOI:10.1007/s10067-021-05597-8
    • Journal Article
      Ultrasound shear wave elastography and its association with rotator cuff tear characteristics
      Lawrence RL, Ruder MC, Moutzouros V, Makhni EC, Muh SJ, Siegal D, Soliman SB, van Holsbeeck M, Bey MJ. Jses International, 2026 Feb 23; 5 (3): 500 - 506. DOI:10.1016/j.jseint.2020.11.008

    Featured News & Stories

    ultrasound on skin
    Health Lab

    Simple muscle ultrasound may detect early prediabetes

    A simple ultrasound of a patient’s thigh or shoulder muscle may detect insulin resistance before it progresses to type 2 diabetes or even prediabetes. In a study, Michigan Medicine researchers performed muscle ultrasounds on 25 patients who were also evaluated for insulin resistance.
    person getting a closeup ultrasound
    Health Lab

    4 times you might need an ultrasound and didn’t know

    An article about ultrasounds and in what situations to use them in, provided by radiologists.