PROSPECTS OF ARTIFICIAL INTELLIGENCE IN CARRYING OUT THE ONCOLOGICAL COMPONENT OF MEDICAL EXAMINATION OF THE POPULATION
##article.numberofdownloads## 48
##article.numberofviews## 59
PDF (Русский)

Keywords

РАННЯЯ ДИАГНОСТИКА РАКА
ПАТОГЕНЕТИЧЕСКИЕ СИМПТОМЫ
АНКЕТНЫЙ ОПРОС С ИЛЛЮСТРАЦИЯМИ
АЛГОРИТМЫ И РЕКОМЕНДАЦИИ ДООБСЛЕДОВАНИЯ
ЦИФРОВЫЕ ТЕХНОЛОГИИ

How to Cite

Cherenkov, V., Petrov, A., Gulkov, I., & Kostyukov, A. (2019). PROSPECTS OF ARTIFICIAL INTELLIGENCE IN CARRYING OUT THE ONCOLOGICAL COMPONENT OF MEDICAL EXAMINATION OF THE POPULATION. Voprosy Onkologii, 65(2), 234–237. https://doi.org/10.37469/0507-3758-2019-65-2-234-237

Abstract

Diagnosis of malignant tumors is an urgent problem of the modern world. Early diagnosis depends on General practitioners. The doctor should conduct a systematic examination of the patient regularly, taking into account the risk groups, gender and age. With mass screening, signs of dysplasia or an early focus, developing cancer can «slip away» [1]. Optimization of analysis and examination algorithms is required, which is not always possible for one person. Positive application of the digital program with elements of imaging in Oncology, we were able to create such a class of tasks for the preliminary subjective-objective survey of patients in three versions: with a widescreen screen and consoles for patients (group version up to 15 or more patients), interactive (touch) and tablet. The results of the survey are sent through the accepted channels to the doctor with recommendations for further examination, and the patient is given a coupon. The pilot program showed that the system of such robotic technologies in the future can replace the oncologist in its development to artificial intelligence at the stage of the primary link.
https://doi.org/10.37469/0507-3758-2019-65-2-234-237
##article.numberofdownloads## 48
##article.numberofviews## 59
PDF (Русский)

References

Барчук А.А., Гайдуков В.С., Беляев А.М. и др. Применение онтологии при скрининге онкологических заболеваний // Вопросы онкологии. - 2017. - Т. 63. - С. 208-214.

Потанина Ю.А., Дартау Л.А., Белоконь О.В. Компьютерная технология ЭДИФАР как средство сбора данных от населения. - изд. «Московский лицей», 1999.

Технологии Watson Health. облачный сервис IBM Watson для здравоохранения, 2015.

Филатов А. Апробация технологии Watson Health в здравоохранении, Сколково,2016.

Черенков В.Г. Онкология. - Москва. изд.группа. ГЭОТАр-Медиа, 2017. - 505 с.

Mohammed O., Benlamri R. Developing a semantic web model for medical differential diagnosis recommendation // Journal of medical systems. - 2014. - Vol. 38. - № 10. - R 1-18.

Черенков В.Г., Петров А.Б. Цифровые технологии в онкологическом образовании // Российский онкологический журнал. - 2018. - Т. 24. - №1-2. - С. 31-35.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

© АННМО «Вопросы онкологии», Copyright (c) 2019