Page 54 - International Standards to Shape Smart Sustainable Cities: The Case of Moscow
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Implementing ITU-T International Standards to shape Smart Sustainable Cities - The case of Moscow
Figure 28: UMIAS connected terminal at a medical centre
A pilot project (separate from UMIAS) is being implemented for reviewing the efficacy of the
current test protocol for lung and breast cancers. This pilot project uses an artificial intelligence
(AI) programme to review MRI and CAT scans for cancer precursor cells. The AI programme is
even capable of identifying the one pixel on a read-out that is a precursor to cancer. The pilot
has so far helped 225 people in identifying the precursor to cancer at an early stage, something
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the existing process had not been able to do.
Yet another pilot project uses UMIAS data and data from school attendance to predict potential
virus outbreaks at schools. The data is then transferred to authorities who can inform students
to stay at home, thus preventing the outbreak. The pilot programme, also using AI, has a success
rate of 92 per cent.
Electronic learning, teaching and school administration
The Moscow Electronic School project started in September 2016. The main elements of the
project include digital school records, online registration, as well as an electronic library with
textbooks, lesson scenarios and a large volume of curricula.
The lesson scenarios contained in the electronic library have now largely replaced traditional
lesson plans, with a look that is more akin to presentations, along with additional materials and
tasks. Teachers all around the city can find any scenario they need at the electronic library, add
something new to an existing curriculum, or create a new one and share it with others. This
system also allows teachers to exchange experiences and it fosters more innovation in teaching
through interactivity within the systems. To date, Moscow’s teachers have created more than
500 000 content units
61 GitHub | https://medium.com/smart-city-moscow/just-over-a-year-ago-i-talked-about-our-project-
on-early-diagnosis-of-lung-cancer-the-neural-70d7994bb443
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