Robotic intelligence in the organization of pre-medical diagnostics of the risk of tumor diseases

V. G. Cherenkov , K. G. Pasevich , I. V. Gulkov

Russian Journal of Oncology ›› 2020, Vol. 25 ›› Issue (2) : 72 -76.

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Russian Journal of Oncology ›› 2020, Vol. 25 ›› Issue (2) : 72 -76. DOI: 10.17816/1028-9984-2020-25-1-72-76
Basic Science - Practical Health Care
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Robotic intelligence in the organization of pre-medical diagnostics of the risk of tumor diseases

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Abstract

Based on the creation of a robotic complex, the analysis of clinical observations of 1053 patients was carried out, by means of a survey with illustrations, in which 106 (30.4 ± 4.6%) later revealed a malignant process. In 53 patients with microscopy of pigmented nevi, other tumors and precancerous changes in visual localization, oral cavity, in which 13 (72.2% ± 1.1) had melanoma and other tumors. In 75 patients, based on the survey, a urease breath test was required, on the basis of which, if it was present for more than 10 units, FGS was performed, while in 12 cases, peptic ulcer in the acute stage or scarring, chronic gastritis with metaplasia zones, and in 4 (11.7 ± 0.9), stomach cancer was detected. The survey was conducted with the participation of clinical residents and students on Open days and at the request of patients after 3 advertising exhibitions

Keywords

robotic complex / system survey / “urease test” / USB-microscope

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V. G. Cherenkov, K. G. Pasevich, I. V. Gulkov. Robotic intelligence in the organization of pre-medical diagnostics of the risk of tumor diseases. Russian Journal of Oncology, 2020, 25(2): 72-76 DOI:10.17816/1028-9984-2020-25-1-72-76

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References

[1]

Kaprin A.D., Starinsky V.V., Petrova G.V., eds. The state of cancer care in Russia in 2017. Moscow: P.A. Herzen Moscow state medical research Institute-branch of the Federal state medical research CENTER of radiology of the Ministry of health of Russia; 2018. (in Russian)

[2]

Каприн А.Д., Старинский В.В., Петрова Г.В., ред. Состояние онкологической помощи населению России в 2017 году. М.: МНИОИ им. П.А. Герцена – филиал ФГБУ «НМИЦ радиологии» Минздрава России; 2018.

[3]

Cherenkov V.G., Pasevich K.G., Gulkov I.V., Riss M.E. Method for early diagnosis of surface-spreading melanoma. Patent RF N 2716811; 2020. (in Russian)

[4]

Черенков В.Г., Пасевич К.Г., Гулков И.В., Рисс М.Е. Способ ранней диагностики поверхностно распространяющихся меланом. Патент РФ № 2716811/16.03.2020.

[5]

Chissov V.I., Trachtenberg A.H. Errors in Clinical Oncology (Guidelines for doctors) [Oshibki v klinicheskoj onkologii]. Moscow: Medicine; 2001. p. 544 (in Russian)

[6]

Чиссова В.И., Трахтенберг А.Х. Ошибки в клинической онкологии (руководство для врачей). М.: Медицина; 2001. 544 с.

[7]

Aliev M.D., Bokhyan B.Yu., Demidov L.V., Ivanov S.M., Samoi-lenko I.V., Trofimova O.P. et al., eds. Clinical recommendations for the diagnosis and treatment of patients with skin melanoma [Klinicheskie rekomendatsiipo diagnostike i lecheniyu bol’nykh melanomoy kozhi]. Moscow; 2014: 11 p.

[8]

Алиев М.Д., Бохян Б.Ю., Демидов Л.В., Иванов С.М., Самойленко И.В., Трофимова О.П. и др., ред. Клинические рекомендации по диагностике и лечению больных меланомой кожи. М.; 2014. 11 с.

[9]

Cherenkov V.G., Petrov A.B. Oncology (Secrets of unrecognized diagnoses. Secrets of prevention and early diagnosis) [Onkologij (Taini neraspoznannix diagnosov)]. Velikiy Novgorod: Tactic-Studio; 2012; 264 p. (in Russian)

[10]

Черенков В.Г., Петров А.Б. Онкология (Тайны нераспознанных диагнозов. Секреты профилактики и ранней диагностики). Великий Новгород: Тактик-Студио; 2012. 264 с.

[11]

Cherenkov V.G. Oncology (textbook) [Onkologiy (uchebnik)], 5th edition. Moscow: GEOTAR-Media; 2020. 507 p. (in Russian)

[12]

Черенков В.Г. Онкология (учебник). 5 издание. М: ГЭОТАР-Медиа; 2020. 507с.

[13]

Cherenkov V.G., Pasevich K.G., Riss M.I., Naumenko E.S. Diagnostics of early signs of surface-spreading melanoma using a robotic complex. Journal of clinical research and research. 2020; 3 (1): 174˗9.

[14]

Cherenkov V.G., Pasevich K.G., Riess M.E., Naumenko E.S. Diagnostics of Early Signs of Surface-Spreading Melanoma Using a Robotic Complex. Journal of Clinical Trials & Research. 2020; 3 (1): 174–9.

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