Развитие технологий искусственного интеллекта в онкологии и лучевой диагностике

Introduction. The widespread adoption of Artificial Intelligence (AI) technologies forms the core of the so-called Industrial Revolution 4.0.The aim of this study is to examine qualitative changes occurring over the last two years in the development of AI through an examination of trends in PubMed publications.Materials. All abstracts with keyword “artificial intelligence” were downloaded from PubMed database https://www.ncbi.nlm.nih.gov/pubmed/ in the form of .txt files. In order to produce a generalisation of topics, we classified present applications of AI in medicine. To this end, 78,420 abstracts, 5558 reviews, 304 randomised controlled trials, 247 multicentre studies and 4137 other publication types were extracted. (Figure 1). Next, the typical applications were classified.Results. Interest in the topic of AI in publications indexed in the PubMed library is increasing according to general innovation development principles. Along with English publications, the number of non-English publications continued to increase until 2018, represented especially by Chinese, German and French languages. By 2018, the number of non-English publications had started to decrease in favour of English publications. Implementations of AI are already being adopted in contemporary practice. Thus, AI tools have moved out of the theoretical realm to find mainstream application.Conclusions. Tools for machine learning have become widely available to working scientists over the last two years. Since this includes FDA-approved tools for general clinical practice, the change not only affects to researchers but also clinical practitioners. Medical imaging and analysis applications already approved for the most part demonstrate comparable accuracy with the human specialist. A classification of developed AI applications is presented in the article.Введение. Индустриальная революция 4.0 произошла во многом благодаря внедрению методов искусственного интеллекта.Цель исследования. Показать качественные перемены, которые произошли в последние 3 года в реализации методов искусственного интеллекта в здравоохранении путем исследования трендов по публикациям в базе данных PubMed.Материалы. Все резюме статей с ключевым словом “artificial intelligence” были загружены в текстовые файлы из базы данных https://www.ncbi.nlm.nih.gov/pubmed/. Путем обобщения ключевых слов мы классифицировали современные применения искусственного интеллекта в медицине. 78 420 резюме были извлечены из базы данных PubMed, в том числе 5558 обзоров, 304 рандомизированных исследования, 247 многоцентровых исследований. Затем были классифицированы типичные сферы применения.Результаты. Интерес к теме искусственного интеллекта в индексированных в PubMed публикациях растет согласно закону развития инноваций. Количество неанглоязычных публикаций увеличивалось до 2008 года и было представлено на китайском, немецком, французском и русском языках. После 2008 года количество неанглоязычных публикаций снизилось в пользу англоязычных.Выводы. В последние два-три года искусственный интеллект в практике принятия решений в медицине стал иметь реальное практическое применение. Кроме того, инструменты для создания систем принятия решений на базе методик искусственного интеллекта стали уже не диковинными и доступны не только математикам. Американское управление пищевыми продуктами и лекарственными препаратами (FDA) одобрило ряд приложений к клинической практике. Это еще одна перемена, которая затронула не только ученых, но и практиков. Большинство таких приложений используется для анализа медицинских изображений, в том числе и в онкологии, и демонстрирует сравнимую точность с человеком специалистом. В статье представлена разработанная классификация применения технологий искусственного интеллекта

Тонометрическое внутриглазное давление у взрослого населения: популяционное исследование

PURPOSE: To study the distribution of intraocular pressure (IOP) obtained by Maklakov tonometry in different age groups.METHODS: The study evaluated Caucasians without glaucoma aged 45-75. The participants underwent Maklakov tonometry with a 10 g tonometer at 09:00-12:00 with subsequent imprint evaluation by means of NesterovEgorov scale, measurements of central corneal thickness (CCT) and visual acuity. All the participants were divided into 3 groups by age: Group 1 consisted of participants aged 45-55, Group 2 comprised the ones aged 56-65, Group 3 included patients aged 66-75.RESULTS: In total 791 person were enrolled; 1 429 of 1 499 eyes (95.3%) were accepted into the study. IOP in Group I was 16.1±3.3 mmHg in Group 1; 16.3±3.3 in Group 2; 16.2±3.5 mmHg in Group 3. CCT in Group 1 was 545.7±14.6 μm; 545.3±15.4 μm in Group 2; 544.7±14.6 μm in Group 3. Visual acuity was 0.93±0.13 in Group 1; 0.89±0.15 in Group 2; 0.81±0.18 in Group 3. Average IOP in men was 16.4±3.3 mmHg, in women 16.5±3.3 mmHg. Age, vision acuity, CCT and IOP were within the normal distribution; IOP and CCT had no significant differences between the age groups. The measured parameters showed no significant intercorrelation. We found no significant difference between IOP in men and women.CONCLUSION: In a healthy population CCT and IOP values fall within a normal distribution and do not change significantly with age. IOP does not depend on sex. Average IOP in the studied population is 16.2±3.4 mmHg, average CCT is 545.3±15.1 μm.ЦЕЛЬ. Исследовать возрастные нормы внутриглазного давления (ВГД) при использовании тонометрии по Маклакову.МЕТОДЫ. Обследовали лиц европеоидной расы без глаукомы в возрасте 45-75 лет. Исследуемым измеряли ВГД тонометром Маклакова весом 10 грамм в период с 9:00 до 12:00 с последующей оценкой отпечатка по линейке Нестерова - Егорова, измеряли центральную толщину роговицы (ЦТР) и проверяли остроту зрения. Всех исследуемых разделили на три группы по возрасту: группа 1 — 45-55 лет, группа 2 — 56-65 лет, группа 3 — 66-75 лет.РЕЗУЛЬТАТЫ. Обследован 791 человек; из 1 499 глаз приняты 1 429 (95,3%). ВГД составило в группе 1 — 16,1±3,3 мм рт.ст.; в группе 2 — 16,3±3,3 мм рт.ст.; в группе 3 — 16,2±3,5 мм рт.ст. ЦТР составило в группе 1 — 545,7±14,6 мкм; в группе 2 — 545,3±15,4 мкм; в группе 3 — 544,7±14,6 мкм. Острота зрения составила в группе 1 — 0,93±0,13; в группе 2 — 0,89±0,15; в группе 3 — 0,81±0,18. Среднее ВГД у мужчин — 16,4±3,3 мм рт.ст., у женщин — 16,5±3,3 мм рт.ст. Возраст, острота зрения, ЦТР и ВГД имеют нормальное распределение; ВГД и ЦТР в разных группах достоверно не различаются. Наблюдаемые параметры ни в одном случае значимо не коррелируют друг с другом. Не выявлено разницы в ВГД у мужчин и женщин.ВЫВОДЫ. В здоровой взрослой популяции ЦТР и ВГД имеют нормальное распределение и не претерпевают значимых изменений с возрастом. ВГД не зависит от пола. Среднее ВГД в исследуемой популяции составляет 16,2±3,4 мм рт.ст., средняя ЦТР — 545,3±15,1 мкм

Reactive oxygen species and male reproductive hormones

Reports of the increasing incidence of male infertility paired with decreasing semen quality have triggered studies on the effects of lifestyle and environmental factors on the male reproductive potential. There are numerous exogenous and endogenous factors that are able to induce excessive production of reactive oxygen species (ROS) beyond that of cellular antioxidant capacity, thus causing oxidative stress. In turn, oxidative stress negatively affects male reproductive functions and may induce infertility either directly or indirectly by affecting the hypothalamus-pituitary-gonadal (HPG) axis and/or disrupting its crosstalk with other hormonal axes. This review discusses the important exogenous and endogenous factors leading to the generation of ROS in different parts of the male reproductive tract. It also highlights the negative impact of oxidative stress on the regulation and cross-talk between the reproductive hormones. It further describes the mechanism of ROS-induced derangement of male reproductive hormonal profiles that could ultimately lead to male infertility. An understanding of the disruptive effects of ROS on male reproductive hormones would encourage further investigations directed towards the prevention of ROS-mediated hormonal imbalances, which in turn could help in the management of male infertility

Endovascular Embolization of the Uterine Arteries in Giant Uterine Fibroids

Choosing a treatment option for uterine fibroids is today one of the most relevant problems in gynecological practice. Thanks to the success of modern medicine and the increased level of the population’s culture, female patients seek medical help without waiting for the tumor to acquire significant sizes. However, in practice, there are cases when fibroids reach gigantic sizes. Hysterectomy is a traditional approach to treating uterine fibroids of these sizes according to the current clinical guidelines. The introduction of new high-tech treatments, such as uterine artery embolization, has led to a revision of radical surgery, by giving preference to alternative approaches especially in cases where the patient desires to preserve the reproductive organ. The paper describes a clinical case that confirms an individual approach to choosing a treatment option towards organ-sparing surgery for giant uterine fibroids. The use of endovascular embolization of the uterine arteries as a treatment for giant uterine fibroids is shown to be justified as an organ-sparing surgery if the patient desires to preserve reproductive function

Artificial Intelligence Developments in Medical Visualization and Oncology

Introduction. The widespread adoption of Artificial Intelligence (AI) technologies forms the core of the so-called Industrial Revolution 4.0.The aim of this study is to examine qualitative changes occurring over the last two years in the development of AI through an examination of trends in PubMed publications.Materials. All abstracts with keyword “artificial intelligence” were downloaded from PubMed database https://www.ncbi.nlm.nih.gov/pubmed/ in the form of .txt files. In order to produce a generalisation of topics, we classified present applications of AI in medicine. To this end, 78,420 abstracts, 5558 reviews, 304 randomised controlled trials, 247 multicentre studies and 4137 other publication types were extracted. (Figure 1). Next, the typical applications were classified.Results. Interest in the topic of AI in publications indexed in the PubMed library is increasing according to general innovation development principles. Along with English publications, the number of non-English publications continued to increase until 2018, represented especially by Chinese, German and French languages. By 2018, the number of non-English publications had started to decrease in favour of English publications. Implementations of AI are already being adopted in contemporary practice. Thus, AI tools have moved out of the theoretical realm to find mainstream application.Conclusions. Tools for machine learning have become widely available to working scientists over the last two years. Since this includes FDA-approved tools for general clinical practice, the change not only affects to researchers but also clinical practitioners. Medical imaging and analysis applications already approved for the most part demonstrate comparable accuracy with the human specialist. A classification of developed AI applications is presented in the article