- American Society of Neuroradiology (2022), International Member
- European Radiology (2021), Reviewer
- Society for Imaging Informatics in Medicine (2021), Machine Learning Education Subcommittee Member
- Sociedade Paulista de Radiologia (2012), Machine Learning Committee Member
- Radiological Society of North America (2006), Member and AI Reviewer

Paulo De Aguiar Kuriki, M.D.
- Radiology - Neuroradiology
Biography
Paulo E. A. Kuriki, M.D., is an Assistant Professor at UT Southwestern Medical Center and a member of its Neuroradiology Division.
Originally from São Paulo, Brazil, Dr. Kuriki received his medical degree, completed his radiology residency training, and pursued a neuroradiology clinical fellowship at Universidade Federal de São Paulo in Brazil. He also completed an Advanced Neuroradiology Fellowship at UT Southwestern.
Before joining the faculty in 2024, Dr. Kuriki worked as a Neuroradiologist and served as the Head of Artificial Intelligence in Diagnostic Operations at DASA, Brazil’s largest diagnostic company. There, he leaded the development of multiple AI tools, including an MRI denoiser responsible for reducing acquisition time by 30%, an NLP project that reads EMRs and diagnostic reports to navigate actionable findings, and an automation tool to improve radiologists' reporting efficiency. He was also a co-founder of DiagRad Teleradiology, which later merged with another teleradiology group in 2019.
Dr. Kuriki's research focuses on imaging informatics, computer vision in radiology, and NLP/large language models. His work has been presented at several professional conferences throughout the country.
Dr. Kuriki is an active member of several professional organizations, including serving as Vice Chair of the ML Education Subcommittee at SIIM, a member of the RAIDS Subcommittee at the Radiological Society of North America, and a member of the ASNR AI Committee.
In his spare time, Dr. Kuriki enjoys spending time with his family and friends, grilling Brazilian barbecue, and coding AI models.
Professional Associations & Affiliations
Honors & Awards
- AI Model Showcase Winner 2021, Society for Imaging Informatics in Medicine
- Magna Cum Laude 2020, Radiological Society of North America
Books & Publications
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Publications
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Artificial Intelligence in Radiology: A Private Practice Perspective From a Large Health System in Latin America.
Kuriki PEA, Kitamura FC, Seminars in roentgenology 2023 Apr 58 2 203-207 -
Beyond the AJR: Patrolling k-Space to Spot "Data Crimes" Using Public MRI Datasets.
Kuriki PEA, Kitamura FC, AJR. American journal of roentgenology 2023 Feb 220 2 303 -
Editorial Comment: Cost-effectiveness of brain MRI in stroke emergency patients.
de Aguiar Kuriki PE, Kitamura FC, European radiology 2022 Feb 32 2 1115-1116 -
Machine learning model for predicting severity prognosis in patients infected with COVID-19: Study protocol from COVID-AI Brasil.
Paiva Proença Lobo Lopes F, Kitamura FC, Prado GF, Kuriki PEA, Garcia MRT, PloS one 2021 16 2 e0245384
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Artificial Intelligence in Radiology: A Private Practice Perspective From a Large Health System in Latin America.