Sassan Hashemi, MD
- Member, Division of Pediatric Cardiothoracic Surgery
- Assistant Professor, UC Department of Surgery
About
Biography
As a faculty member at Cincinnati Children’s, my work centers on transforming how we visualize and understand complex congenital heart disease. I am passionate about bridging the gap between imaging and the operating room by harnessing 3D modeling, virtual surgical planning, and emerging digital twin technologies. My goal is to help surgeons and cardiologists make better-informed decisions, reduce surgical uncertainty, and personalize interventions for each child.
My interest in this field began early in my training, when I saw firsthand how challenging it was for even the most experienced clinicians to mentally reconstruct complex cardiac anatomy from 2D images. That experience sparked my dedication to 3D visualization as a tool to improve clarity, communication, and ultimately patient care. Over time, this has evolved into a commitment to merging advanced imaging, 3D modeling, and clinical decision-making—transforming data into insight and visualization into action.
I am also exploring how artificial intelligence can accelerate segmentation, automate quantitative analysis, and improve surgical outcomes. I believe that technology is most powerful when it enhances human expertise. My aim is to make advanced visualization—whether through 3D modeling, 3D printing, or AR/VR—accessible and clinically meaningful to the physicians and surgeons caring for children with heart disease everywhere.
MD: Tehran University of Medical Sciences
Interests
Cross-sectional cardiovascular imaging; congenital heart disease; 3D modeling and virtual surgical / interventional planning; quantitative image analysis; image quality optimization; protocol development and workflow improvement
Services and Specialties
Interests
Advanced visualization; 3D printing; AR / VR solutions; AI applications in congenital heart disease imaging
Research Areas
Publications
Personalized Patient-Specific Patch Augmentation Using Virtual Surgical Planning. JACC: Case Reports. 2025; 30:105765.
Utility of cardiac magnetic resonance imaging in the evaluation of cardiovascular involvement in pediatric Rosai-Dorfman disease. Pediatric Radiology: roentgenology, nuclear medicine, ultrasonics, CT, MRI. 2025; 55:2676-2680.
Impact of Appropriate Use Criteria for Cross-Sectional Imaging on Medical Decision-Making in Patients with Conotruncal Defects. Pediatric Cardiology. 2025; 46:1544-1550.
4-Dimensional Right Ventricular Outflow Tract Segmentation to Evaluate Candidacy for Transcatheter Pulmonary Valve Replacement. Pediatric Cardiology. 2025; 46:1400-1404.
Hypoxemia following pulmonary arterioplasty of pulmonary atresia with ventricular septal defect: Heart, lungs, or something in between?. Journal of Cardiovascular Computed Tomography. 2025; 19:e1-e3.
Wrong Way Home: Variant Caval Return to the Left Atrium. 2025; 9:19-24.
Circumflex aortic arch. Pediatric Radiology: roentgenology, nuclear medicine, ultrasonics, CT, MRI. 2024; 54:2096.
Evaluation of the extent of left ventricular trabeculations and association with imaging findings and clinical outcomes in pediatric patients with possible left ventricular noncompaction cardiomyopathy. Progress in Pediatric Cardiology. 2024; 73:101719.
Diagnostic Approach to Recurrent Intracardiac Masses That Present With Systemic Symptoms. Pediatrics. 2023; 152:e2023062122.
Comparison of Cardiac Computed Tomography and Magnetic Resonance Angiography Measurements for Determination of Candidacy for Transcatheter Pulmonary Valve Replacement in Native or Postsurgical Right Ventricular Outflow Tracts. American Journal of Cardiology. 2023; 206:98-100.
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