Eduardo Jose Mortani Barbosa Jr., MD, MBA

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Associate Professor of Radiology at the Hospital of the University of Pennsylvania
Attending Radiologist, Hospital of the University of Pennsylvania, Philadelphia, PA, USA
Attending Radiologist, Presbyterian Medical Center, University of Pennsylvania, Philadelphia, PA, USA
Attending Radiologist, Pennsylvania Hospital, University of Pennsylvania, Philadelphia, PA, USA
Director, CT modality, Thoracic Imaging Section, Department of Radiology, University of Pennsylvania
Attending Radiologist, Chester County Hospital, University of Pennsylvania, Philadelphia, PA, USA
Interim Section Chief, Cardiothoracic Imaging, Hospital of the University of Pennsylvania
Department: Radiology

Contact information
University of Pennsylvania Perelman School of Medicine
Department of Radiology - Division of Thoracic Imaging
3400 Spruce Street
Ground Floor, Founders Building
Philadelphia, PA 19104
Office: (215) 662-3036
Fax: (215) 614-0033
Education:
B.Sc. (Molecular Sciences)
University of Sao Paulo, 1999.
M.D. (Medicine)
University of Sao Paulo, 2003.
M.B.A. (Majors: Finance & Business Analytics)
Wharton School - University of Pennsylvania, 2023.
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Description of Clinical Expertise

Cardiothoracic Imaging (CT, MR, radiography)
CT protocol design, maintenance and optimization
Structured Reporting
Thoracic Intervention, including CT guided biopsy

Description of Research Expertise

Quantitative and Functional Cardiothoracic Imaging, with emphasis in diffuse lung diseases (ILD, COPD, BOS)
Clinical Implementation of Artificial Intelligence Algorithms
Health Services Research focusing on Optimization of Cardiothoracic Structured Reporting and CT Protocols
Risk Predictive Models and Thoracic Oncology
Lung Cancer Screening and Overdiagnosis
Clinical Research in Pulmonary Hypertension, Pulmonary Embolism, Thoracic Trauma

Selected Publications

Eduardo Mortani Barbosa Jr, Yohan Kim, Warren Gefter, Bodgan Georgescu, Yanbo Zhang, Sasa Gbric : Challenges in Generalizing DL Models for Lung Nodule Classification: Insights from Screening and High-Risk Biopsy-Proven Cohorts. European Society of Thoracic Imaging Annual Meeting June 2025 Notes: Accepted Scientific Abstract.

Eduardo Mortani Barbosa Jr, Zhuoyang Wang: AI/ML models can leverage socio-economic factors and clinical context to predict adherence to incidental pulmonary nodule follow-up. European Society of Thoracic Imaging Annual Meeting June 2025 Notes: Accepted Scientific Abstract.

Eduardo Mortani Barbosa Jr, Justin Shanahan, Emily Minus: Hierarchical clustering of ILD patients relying on clinical, pathological, PFT and radiological data improves prognostication when compared to the standard of care multidisciplinary consensus diagnosis. European Society of Thoracic Imaging Annual Meeting June 2025 Notes: Accepted Scientific Abstract E-Poster.

Eduardo Mortani Barbosa Jr, Justin Shanahan: The value of machine learning AI models for classification of interstitial lung diseases, leveraging comprehensive sociodemographic, clinical, imaging and PFT data. European Society of Thoracic Imaging Annual Meeting June 2025 Notes: Accepted Scientific Abstract.

Eduardo Mortani Barbosa Jr, Yohan Kim, Zhuoyang Wang: The value of AI/ML models to predict continued participation in lung cancer screening, leveraging demographics and socioeconomic determinants of health. European Society of Thoracic Imaging Annual Meeting June 2025 Notes: Accepted Scientific Abstract.

Y. Su, M. Colfer, P. Stecher, H.Litt, J. Jacob, A. Donuru, S. Simpson, E. Mortani Barbosa Jr, A. Nachiappan: Optimization Techniques for Rescan of Problematic CT Pulmonary Angiograms. RSNA Annual Meeting, Chicago, IL December 2024 Notes: Educational Exhibit.

Eduardo J. Mortani Barbosa, Jr, M.D., M.B.A.: Demographics and Socioeconomic Determinants of Health predict continued participation in a CT Lung Cancer Screening Program. Pennsylvania Radiological Society 2024 annual meeting, Lancaster, PA September 2024 Notes: Accepted Abstract.

Eduardo J. Mortani Barbosa, Jr, M.D., M.B.A.: Radiological and Clinical Data accurately predict Multidisciplinary Consensus Diagnosis of Interstitial Lung Diseases (ILD). Pennsylvania Radiological Society 2024 annual meeting, Lancaster, PA September 2024 Notes: Accepted Abstract.

Eduardo J. Mortani Barbosa, Jr, M.D., M.B.A.: Socio-Economic Factors and Clinical Context Can Predict Adherence to Incidental Pulmonary Nodule Follow-up via Artificial Intelligence/Machine Learning Models. Pennsylvania Radiological Society 2024 annual meeting, Lancaster, PA September 2024 Notes: Accepted Abstract.

Yohan Kim B.S., Zhuoyang Wang B.S., Eduardo J. Mortani Barbosa Jr M.D., M.B.A.: Demographics and socioeconomic determinants of health predict continued participation in lung cancer screening. 49th Pendergrass Symposium - University of Pennsylvania June 2024 Notes: Accepted Abstract - June 14 2024.

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Last updated: 04/28/2025
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