Roles
Assistant Professor of Clinical Radiology
Officer for Imaging Informatics - Product Evaluation/Implementation, UM/JMH Radiology
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Biography
Dr. Thiago Braga is originally from Brazil and after finishing medical school in Recife, he decided to pursue further training in the US. Dr. Braga finished his Residencies of Internal Medicine, Radiology and Fellowship in Nuclear Medicine at UM/JMH. After passing all of this boards he maintains board certification in Radiology and Nuclear Medicine. Subsequent to fellowship ending in 2011, Dr. Braga spent 2 years in private practice locally in Miami-Dade and returned to join UM in 2013 as a full-time faculty. He enjoyed working in several of the departments divisions and has accumulated experience in various leadership roles, including Director for Imaging at the Lennar Foundation Medical Center, Section Chief for UM General Radiology, and more recently he was nominated IT Director for the Radiology Department. Dr. Braga also has a busy clinical practice working as an ER/Trauma radiologist for UM/JMH/Ryder Trauma Center. -
Teaching Interests
Educating the next generation of Radiologists to use innovation tools applicable to daily workflow that are commercially available as well as tools that maybe developed here in UM are of great interest to me. Not only that, but learning about the incipient field of AI in radiology and how to help our practice thrive with that knowledge will be paramount for a healthy residency and fellowship programs. Additional interests include acute aortic syndromes, multimodality diagnosis in the ER/Trauma setting. -
Research Interests
Research interests revolve around the documentation of improved efficiencies for the Radiologist workflow associated with the use of Software as a Service (SaS) commercially available solutions or locally developed IT tools and it’s impact in patient care. Furthermore, quantifying the utilization and efficacy of AI enabled platforms to augment education in the Radiology residency and the degree of satisfaction of the Radiologist in training and Faculty with the use of these tools. Lastly, evaluation of the impact of the use of AI throughout the imaging value chain (ordering/CDSM/AUC, scheduling, triaging, protocoling, acquisition, follow up) and the possible utilization of such solutions in providing a better and more high impact experience for the patient during his/her visit to the Radiology department. -
Publications
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