Safwan S Halabi

Safwan S Halabi serves as Associate Professor of Radiology at Northwestern University Feinberg School of Medicine, holding dual leadership roles as Vice-Chair of Radiology Informatics and Director of Fetal Imaging at The Chicago Institute for Fetal Health. He practices clinically in fetal and pediatric imaging at Ann & Robert H. Lurie Children's Hospital of Chicago, with additional hospital affiliations including Northwestern Medicine Central DuPage Hospital and Delnor Hospital. His administrative focus targets quality improvement, patient safety, and enterprise imaging platform optimization.

His educational background includes an MD from The University of Toledo College of Medicine (2001), followed by diagnostic radiology training at Henry Ford Health System (Intern 2002, Chief Resident 2005, Resident 2006), and a Pediatric Radiology Fellowship at Cincinnati Children's Hospital Medical Center (2007). He maintains dual board certification in Radiology (with Pediatric Radiology CAQ) and Clinical Informatics.

Dr. Halabi's research centers on the intersection of imaging informatics and artificial intelligence, with emphasis on deep/machine learning applications in medical imaging, clinical decision support systems, and patient-centered healthcare delivery. His work prioritizes practical AI implementation, reproducibility frameworks, and ethical data sharing, particularly in pediatric contexts. Current projects address federated learning strategies, skeletal maturity assessment, and fetal imaging analytics.

Analysis of his 15 most recent publications reveals a dominant focus on AI reproducibility (40% of articles), followed by federated learning architectures (27%) and pediatric-specific applications (20%). Key trends include standardization of AI model documentation, multi-institutional dataset curation, and workflow integration challenges in clinical radiology settings.

• Fellow of the American College of Radiology (2025)
• Imaging Informatics Innovator Award, SIIM (2022)
• Dual Caffey Awards for Basic Science Papers (2021, 2017)
• Focus on People Award for Radiology Safety (2008)
• Howard P. Doub Radiology Resident Award (2003)

As Associate Editor for the Journal of the American College of Radiology (2019-2024) and Journal of Digital Imaging (2018-2020), he shapes scholarly discourse in radiology informatics. His leadership extends to the RSNA Machine Learning Data Standards Committee (2018-2024) and SIIM Board of Directors (2018-2023), where he drives standards for AI implementation. Current advisory roles include Change Healthcare (2021-present) and the ACR Pediatric AI Workgroup.

He directs the fetal imaging program at The Chicago Institute for Fetal Health and leads Northwestern's radiology informatics division, overseeing enterprise imaging platform development. His teams actively participate in RSNA AI challenges, focusing on multi-institutional collaboration for pediatric bone age assessment and pulmonary embolism detection, with emphasis on real-world clinical integration of AI tools.