Eduardo Jose Mortani Barbosa Jr., MD, MBA, FACR
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
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
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.
Permanent linkB.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.
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 J. Mortani Barbosa Jr, MD, MBA, FACR; Yohan Kim, BSc; Yanbo Zhang, PhD; Arnaud A. A. Setio, PhD; Francois Mellot, MD; Philippe Grenier, MD; Mathis Zimmermann, MS, MBA; Bogdan Georgescu, PhD; Sasa Grbic, PhD; Warren B. Gefter, MD: Deep Learning–Based Pulmonary Nodule Risk Assessment Outperforms Established Malignancy Risk Scores in Lung Cancer Screening. Radiology Advances December 2025 Notes: ACCEPTED for PUBLICATION.EB: A novel AI strategy of combining large dataset training, population specific retraining and confidence estimation to improve classification performance in estimating pulmonary nodule malignancy risk. RSNA Annual Meeting, Chicago, IL December 2025 Notes: ACCEPTED SCIENTIFIC ABSTRACT.
Chun Zou, Lauren Pantalone, Shefali Setia, Eduardo Mortani Barbosa Jr., Tessa Cook, Peter, Noel, Jeffrey Thompson, Russell Shinohara, Leonid Roshkovan, Sharyn Katz, Despina Kontos: Longitudinal Multimodal Radiomic Fusion with Transformer Architecture for Outcome Prediction in Lung Diseases: A Study of COVID-19 Patients Radiology Artificial Intelligence December 2025 Notes: ACCEPTED for PUBLICATION.
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.