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Mitchell Schnall, MD, Radiology, Philadelphia, PA, Pennsylvania Hospital

MitchellDSchnallMD

Radiology Philadelphia, PA

Abdominal Imaging

Professor, Radiology, Perelman School of Medicine

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Education & Training

  • University of Pennsylvania Health System
    University of Pennsylvania Health SystemResidency, Radiology-Diagnostic, 1987 - 1991
  • Perelman School of Medicine at the University of Pennsylvania
    Perelman School of Medicine at the University of PennsylvaniaClass of 1986

Certifications & Licensure

  • NJ State Medical License
    NJ State Medical License 2006 - 2025
  • PA State Medical License
    PA State Medical License 1989 - 2024
  • NY State Medical License
    NY State Medical License 1997 - 2002
  • OH State Medical License
    OH State Medical License 1996 - 2002
  • American Board of Radiology Diagnostic Radiology

Awards, Honors, & Recognition

  • CMS Meaningful Use Stage 1 Certification EpicCare Ambulatory EMR, Epic Systems Corporation, 2012-2013
  • Elected Member The American Society for Clinical Investigation, 2006
  • Super Doctor SuperDoctors.com

Clinical Trials

Publications & Presentations

PubMed

Journal Articles

  • Mammographic Breast Density Decreases After Bariatric Surgery  
    Mitchell Schnall, Noel Williams, Alycia So, Julia Tchou, Kristoffel Dumon, Breast Cancer Research and Treatment

Authored Content

  • Improving Performance by Using a Radiology ExtenderMay 2018

Press Mentions

  • NCI Director Monica Bertagnolli Delivers Her First Public Speech at the ECOG-ACRIN Cancer Research Group Meeting
    NCI Director Monica Bertagnolli Delivers Her First Public Speech at the ECOG-ACRIN Cancer Research Group MeetingOctober 28th, 2022
  • NCI Director Monica Bertagnolli Delivers Her First Public Speech at the ECOG-ACRIN Cancer Research Group Meeting
    NCI Director Monica Bertagnolli Delivers Her First Public Speech at the ECOG-ACRIN Cancer Research Group MeetingOctober 28th, 2022
  • Head and Neck Cancer Researchers Demonstrate the Capability of a Deep Learning Algorithm in the Post-Surgery Setting to Assess the Stage of Disease More Accurately Using Standard CT Scans
    Head and Neck Cancer Researchers Demonstrate the Capability of a Deep Learning Algorithm in the Post-Surgery Setting to Assess the Stage of Disease More Accurately Using Standard CT ScansOctober 21st, 2022
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Grant Support

  • American College Of Radiology Imaging NetworkNational Cancer Institute2012
  • PENN Center For Innovation In Personalized Breast ScreeningNational Cancer Institute2011
  • American College Of Radiology Imaging NetworkNational Cancer Institute2008–2011
  • Research Track Radiology ResidencyNational Institute Of Biomedical Imaging And Bioengineering2005–2011
  • Radial DCE-MRI For Assessment Of Tumor Vascular ResponseNational Center For Research Resources2007–2010
  • Improved Analytic Models For Analysis Of DCE-MRI Data SetsNational Center For Research Resources2007–2010
  • Arra - Adopt New Technologies For Rdc/CdmsNational Cancer Institute2009
  • Evaluation Of Multi Modality Breast ImagingNational Cancer Institute2001–2006
  • High Risk Breast Cancer Screening Pilot Clinical TrialNational Center For Research Resources2004
  • Evaluation Of Multimodality Breast IMAGING: Project 2National Center For Research Resources2004
  • Clinical Study Of MRI In Breast CancerNational Cancer Institute1997–2003
  • Lesion CharacterizationNational Cancer Institute2001–2002
  • Anatomic/Functional Breast MRI Markers Of SERM EffectNational Cancer Institute2000–2002
  • Biomedical APP. Of The Next Generation InternetNational Library Of Medicine2000
  • High Resolution MR Imaging Of Suspicious BreastNational Cancer Institute1996–1998
  • Training In Innovative Cancer Imaging TechnologiesNational Cancer Institute1997
  • Local Gradient Coils For High Resolution MRI Of Breast: Breast CancerNational Center For Research Resources1996
  • High Resolution MR Imaging Of Suspicious Breast LesionsNational Cancer Institute1994–1995
  • High-Resolution MR Imaging Of Suspicious Breast LesionsNational Cancer Institute1993

Hospital Affiliations