A photo of John Racadio.

John M. Racadio, MD

  • Director, Interventional Radiology, Research and Innovation, Department of Radiology and Medical Imaging
  • Interventional Radiologist
  • Professor, UC Department of Radiology
  • UC Department of Pediatrics; UC Department of Surgery



John M. Racadio, MD, is the director of the Interventional Radiology Translational Research and Simulation Lab (IR-TRSL). Its core functions include: 1) Conducting original research in new methods and applications of current and emerging Interventional Radiology (IR) technologies for minimally invasive image guided therapy for all patient populations. 2) Providing consultation and access to advanced imaging and IR techniques for researchers and industry clients. 3) Educating and training researchers, clinicians, fellows and students in the use of IR imaging technologies and image guided therapy techniques. As the director of Interventional Radiology Research and Innovation, he has partnered with the Department of Surgery to plan, develop, and build a new Image Guided Hybrid OR at Cincinnati Children's Hospital Medical Center. The technology and capabilities of this clinical Hybrid OR mirror those of the IR-TRSL. Through a collaborative approach between Interventional Radiology and Surgery, Dr. Racadio and colleagues strive to develop new approaches and techniques for Image Guided Surgery, which can be practiced in the IR-TRSL and translated into clinical practice in the Hybrid OR.

BS: Stanford University, Palo Alto, CA, 1987.

MD: University of Cincinnati, Cincinnati, OH, 1992.

Residency: University of Cincinnati, Cincinnati, OH, 1997.

Fellowship: Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 1998.


Pediatric interventional radiology; image guided surgery

Services and Specialties

Radiology, Interventional Radiology, Rare Lung Diseases

Research Areas

Radiology, Imaging


A novel technique for balloon dilation of multifocal bronchial stenosis in granulomatosis with polyangiitis. Kaspy, KR; Wallace, C; Hilvert, N; Machogu, EM; Cheng, PC; Kwan, OA; von Allmen, DC; Racadio, JM; Hysinger, E. Pediatric Pulmonology. 2024; 59:225-228.

MRI assessment and guidance for regionally targeted pulmonary interventions. Willmering, MM; Bdaiwi, AS; Kaspy, KR; Racadio, J; Machogu, EM; Kwan, OA; Cheng, PC; Woods, JC; Hysinger, EB. Pediatric Pulmonology. 2023; 58:2386-2388.

Effect of Thrombin and Incubation Time on Porcine Whole Blood Clot Elasticity and Recombinant Tissue Plasminogen Activator Susceptibility. Zemzemi, C; Phillips, M; Vela, DC; Hilvert, NA; Racadio, JM; Bader, KB; Haworth, KJ; Holland, CK. Ultrasound in Medicine and Biology. 2022; 48:1567-1578.

Accelerated sonothrombolysis with Definity in a xenographic porcine cerebral thromboembolism model. Kleven, RT; Karani, KB; Hilvert, N; Ford, SM; Mercado-Shekhar, KP; Racadio, JM; Rao, MB; Abruzzo, TA; Holland, CK. Scientific Reports. 2021; 11:3987.

Correlation of Technical and Adjunctive Factors with Quantitative Tumor Reduction in Children Undergoing Selective Ophthalmic Artery Infusion Chemotherapy for Retinoblastoma. Abruzzo, T; Abraham, K; Karani, KB; Geller, JI; Vadivelu, S; Racadio, JM; Zhang, B; Correa, ZM. American Journal of Neuroradiology. 2021; 42:354-361.

Renal Angiomyolipoma Secondary to Tuberous Sclerosis. Flowers, DK; Flowers, RL; Racadio, JM; Towbin, RB; Towbin, AJ. Applied Radiology: the journal of practical medical imaging and management. 2021; 50:44-47.

Diffuse reflectance spectroscopy for breach detection during pedicle screw placement: a first in vivo investigation in a porcine model. Swamy, A; Spliethoff, JW; Burstrom, G; Babic, D; Reich, C; Groen, J; Edstrom, E; Elmi-Terander, A; Racadio, JM; Dankelman, J; Hendriks, BH W. BioMedical Engineering OnLine. 2020; 19:47.

Validation of diffuse reflectance spectroscopy with magnetic resonance imaging for accurate vertebral bone fat fraction quantification. Swamy, A; Burstrom, G; Spliethoff, JW; Babic, D; Ruschke, S; Racadio, JM; Edstrom, E; Terander, AE; Dankelman, J; Hendriks, BH W. Biomedical Optics Express. 2019; 10:4316-4328.

Machine learning for automated 3-dimensional segmentation of the spine and suggested placement of pedicle screws based on intraoperative cone-beam computer tomography. Burstroem, G; Buerger, C; Hoppenbrouwers, J; Nachabe, R; Lorenz, C; Babic, D; Homan, R; Racadio, JM; Grass, M; Persson, O; Edstrom, E; Terander, AE. Journal of Neurosurgery-Spine. 2019; 31:147-154.

Patient Ratings and Comments

All patient satisfaction ratings and comments are submitted by actual patients and verified by a leading independent patient satisfaction company, NRC Health. Patient identities are withheld to ensure confidentiality and privacy. Only those providers whose satisfaction surveys are administered through Cincinnati Children’s Hospital Medical Center are displayed. Click here to learn more about our survey

Overall Patient Rating