Eduardo Jose Mortani Barbosa Jr., MD, MBA, FACR

faculty photo
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
Division Chief of Thoracic Imaging, 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

Zou C, Mankowski W, Pantalone L, Horng H, Setia Verma S, Mortani Barbosa EJ Jr, Cook TS, Noel PB, Carpenter EL, Thompson JC, Shinohara RT, Roshkovan L, Katz SI, Kontos D: Transformer-based Fusion of Longitudinal Multimodal Radiomic Features from Chest Radiography and CT in COVID-19 Radiology Artificial Intelligence e240218, March 2026 Notes: Radiol Artif Intell. 2026 Mar 18:e240218. doi: 10.1148/ryai.240218. Epub ahead of print. PMID: 41848416.

Tianyu Han, Riga Wu, Yu Tian, Firas Khader, Lisa C. Adams, Keno K. Bressem, Christos Davatzikos, Jakob Nikolas Kather, Li Shen, David A. Mankoff, Eduardo Mortani Barbosa Jr, and Daniel Truhn: CLEAR: An Auditable Foundation Model for Radiology Grounded in Clinical Concepts. MedRxiv March 2026 Notes: Pre-Print: https://doi.org/10.64898/2026.01.15.26344222.

Mortani Barbosa EJ Jr, Kim Y, Zhang Y, Setio AAA, Mellot F, Grenier PA, Zimmermann M, Georgescu B, Grbic S, Gefter WB: Deep Learning–Based Pulmonary Nodule Risk Assessment Outperforms Established Malignancy Risk Scores in Lung Cancer Screening. Radiology Advances 3(1), February 2026 Notes: Radiol Adv. 2026 Feb 3;3(1):umag003. doi: 10.1093/radadv/umag003. PMID: 41768120; PMCID: PMC12944827.

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.

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.

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Last updated: 03/29/2026
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