2024
MD&IT №4 2023
Aim: To evaluate the experience of using software based on artificial intelligence technologies as part of the Moscow experiment on the use of innovative technologies in the field of computer vision for the analysis of medical images.
Material and methods: A retrospective study was conducted. The work includes the conclusion outputs of 3 AI services on 822 thousand fluorographic studies for the period from 05.01.2022 to 29.12.2022. Pathology was present in 28,341 studies (3.4%). The assessment ...
Material and methods: A retrospective study was conducted. The work includes the conclusion outputs of 3 AI services on 822 thousand fluorographic studies for the period from 05.01.2022 to 29.12.2022. Pathology was present in 28,341 studies (3.4%). The assessment ...
MD&IT №4 2023
Aim. To study the possibilities of self-remote monitoring of blood pressure and heart rate in high-risk pregnant women.
Material and methods. Women from 18 to 45 years old with hypertension (chronic and gestational), a history of preeclampsia, a high level of preeclampsia risk (above 1:100), body mass index (BMI) > 30 kg/m2 were included in the study to test self-monitoring of blood pressure using the MedSenger platform. The patients used a home tonometer to measure blood pressure and heart rate...
Material and methods. Women from 18 to 45 years old with hypertension (chronic and gestational), a history of preeclampsia, a high level of preeclampsia risk (above 1:100), body mass index (BMI) > 30 kg/m2 were included in the study to test self-monitoring of blood pressure using the MedSenger platform. The patients used a home tonometer to measure blood pressure and heart rate...