Treatment profile
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Description of PET/CT study results.
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Review of previously performed PET/CT images with provision of an expert opinion (second opinion).
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Interpretation of data to clarify the diagnosis and assess treatment dynamics.
Work experience
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10.2018 – 08.2020. Radiologist (X-ray, CT, MMG), Research Center of Moscow State University, Moscow, Russia.
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05.2019 – 01.2020. Radiologist (X-ray, MMG, CT, MRI), Private Clinic 'Petrovskie Vorota', Moscow, Russia.
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08.2019 – 05.2021. Medical Officer, Clinical AI / Intellogic, Moscow, Russia.
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09.2019 – 03.2021. Radiologist (CT, MRI), Remote work — 'National Teleradiology', Moscow, Russia.
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05.2021 – 02.2023. Chief Medical Officer, Clinical AI / Intellogic, Moscow, Russia.
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10.2022 – 05.2023. Radiologist (CT, MRI), Remote work — 'Chesnaya Meditsina', Moscow, Russia.
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02.2023 – present. Medical Consultant, V-Star Data, California, USA.
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06.2023 – present. Medical Consultant, Forus Data, Almaty, Kazakhstan.
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03.2024 – present. Radiologist (PET/CT), Orhun Medical, Almaty, Kazakhstan.
Education
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2010–2016. Russian National Research Medical University named after N.I. Pirogov, Faculty of General Medicine, Moscow, Russia.
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2016–2018. Lomonosov Moscow State University, Residency in Radiology, Faculty of Fundamental Medicine, Moscow, Russia.
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29–30.06.2017. European School of Radiology ASCLEPIOS course, Advanced Abdominal Imaging, Yerevan, Armenia.
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04–05.12.2017. GE Healthcare course, 'Radiological Diagnostics of Lower Limb Joints', Moscow, Russia.
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21–22.06.2018. European School of Radiology ASCLEPIOS course, Advanced Cardio-Thoracic Imaging, Sochi, Russia.
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17–19.10.2018. European School of Radiology ASCLEPIOS course, Cardiac Imaging, Graz, Austria.
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19.08–21.09.2018. Internship in abdominal and musculoskeletal radiology, Spital Männedorf, Zurich, Switzerland.
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21.01–19.04.2019. Internship in breast disease and neuroradiology, Clinical Hospital Dubrava, Zagreb, Croatia.
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30–31.01.2020. ESOR Foundation course 'Artificial Intelligence in Radiology', Rome, Italy.
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01.11–24.11.2023. 'Artificial Intelligence for Breast Cancer Diagnosis' course, Johns Hopkins University, USA.
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2022. Cycle 'Radiation Protection and Safety'.
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2023. Cycle 'Radiological Diagnostics of Pneumonia', 240 hrs.
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2023. BLS/AED training according to the international standards of the European Resuscitation Council, 8 hrs.
Research Participation
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2017. 'Case of tubo-ovarian abscess', published on AuntMinnieEurope.com.
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2017. 'CT volumetry in gastric tumors to predict pathological response to neoadjuvant chemotherapy in locally advanced gastric cancer', abstracts, RORR conference.
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2018. 'Use of CT perfusion parameters to assess early response of gastric cancer to neoadjuvant chemotherapy', oral presentation, scientific session, ECR.
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2019. 'Cardiac MRI in patients with Fabry disease', oral presentation, scientific session, ECR.
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2019. 'Experience in developing and implementing an AI-based system for detecting oncological signs on chest CT', publication, Journal Vrach i informatsionnye tekhnologii.
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2020. Participation in 'Information Technologies in Medicine (ITM)' conference, Russia, panel session speaker supported by Intellogic LLC.
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2021. 'Effectiveness of Botkin.AI platform for screening non-calcified pulmonary nodules in patients who underwent chest CT during COVID-19 pandemic', oral presentation, scientific session, ECR.
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2021. 'Artificial Intelligence in Radiology: Expectations and Reality', oral presentation, Radiology on Christmas Eve conference, Russia.
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2021. Participation in 'Information Technologies in Medicine (ITM)' conference, Russia, panel session speaker supported by Intellogic LLC.
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2022. 'Features of AI system training: possible roles of the radiologist', oral presentation, National Russian School of Radiology 'Artificial Intelligence in Medicine'.
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2022. Participation in 'Information Technologies in Medicine (ITM)' conference, Russia, panel session speaker supported by Intellogic LLC.
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2023. Participation in 'Information Technologies in Medicine (ITM)' conference, Russia, panel session speaker supported by Intellogic LLC.
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2021–2023. Reviewer of the scientific journal Digital Diagnostics in the field of 'Artificial Intelligence in Radiology'.
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