Artificial intelligence in Russian healthcare: how neural networks help MDs and patients

2019-01-09

Artificial intelligence in Russian healthcare: how neural networks help MDs and patients

A pilot medical project powered by artificial intelligence is being launched in Russia. Second Opinion AI developed for the Doctor Smart online clinic will interpret X-ray images by means of neural networks.

The technology was developed by Care Mentor AI, a company focused on the creation of medical neural networks for radiological investigations. AI is currently capable of detecting up to 20 pathologies on a lungs front view. What is more, the developers intend to introduce new X-ray investigating options.

The technologies emerge but are they in fact beneficial to health? Follow the article to find out how new-generation medical technologies work in Russia.

Neural networks help doctors process patients’ data

Currently, quick Big Data analysis is the most prospective sphere of AI in healthcare. Searching for the needed information, neural networks can process thousands of pages per second, which is impossible to men. Nonetheless, that is crucial. As reported by Delve Health, a new medical article comes out in around every 20 minutes while MEDLINE catalog for the previous year alone introduced 870 000 new links.

The second advantageous AI’s property is the absence of a human factor. Experts at NIVEL discovered that 60% of accidental medical errors at ambulance are due to a human factor. Even the most responsible and professional doctors are likely to make a mistake while interpreting facts. Besides, their productivity may be affected by sleepiness, irritation, and fatigue after long-term concentration.

Computers are not susceptible to such factors. In 2018, neural networks learned to identify Alzheimer's by images, diagnose a heart attack risk, and track patients’ biological parameters.

Oxford scientists reached top accuracy in this field. The AI conducted a more successful analysis than people did. A neural network recognized all skin malignant tumors in 95% of cases compared to a group of experienced dermatologists – only 88.9%.

Meanwhile, the Massachusetts Institute of Technology (MIT) engineers developed a neural network to be used instead of a hazardous X-ray investigation. What is more, creators of neural networks claim that AI will not replace doctors but make their work much safer and more effective.

Artificial intelligence in Russian healthcare: how neural networks help MDs and patients - 1

AI improves planning and serves as an assistant

Managers are not the only ones who need good planning skills. Sometimes a well-organized schedule affects the work of a clinic. For example, American researchers from PMC calculated that the cost of every no-show is on average estimated at $200 while the whole U.S. healthcare system loses about $150 bn annually.

Nowadays, online medical appointment booking is available. However, there are lots of patients who need to wait for days or even weeks. What is more, part of patients does not want to see a doctor voluntarily. Here comes telemedicine that may help both patient categories.

Ada may be a great example of such a program. It is a mobile app that asks a patient questions, investigates symptoms to search for information on a problem as well as makes treatment recommendations.

Current state of medical technologies in Russia

Artificial intelligence in Russian healthcare: how neural networks help MDs and patients - 2

The advance of new technologies for consumer usage directly depends on the community preparedness, and the Russians are ready. In autumn 2018, NMS Market Research investigated a national attitude towards the artificial intelligence in Hungary, Poland, Russia, and the Czech Republic. The Russians appeared to show a rather high level of credibility with AI: 63% of the surveyed. The majority goes to 18-24-year-olds (73%) while 55% (35-44 and 55-65-year-olds) are the minority.

AI in medicine may reshape the healthcare industry due to personalized medicine, chronical diseases monitoring, and a reduced number of medical errors.

CEO at Care Mentor Dmitry Romanov ensures that AI will boost the capacity of radiological departments thus providing a doctor with the images depicting pathology only.

Care Mentor AI is currently conducting negotiations with several large medical companies on the implementation of a database to exchange information between radiologists. Besides, Care Mentor AI is now undergoing medical certification in Russia and waits for approval from the Food and Drug Administration of the United States (FDA) in order to enter the U.S. market.

Innovation news

05.03.19
Selection of health gadgets from CES 2019: part 2

Previous week, M-Health Congress told you about the first top six most impressive health devices...

05.03.19
Global healthcare 2019: development of digital technologies and personalized medicine

Analysts from Deloitte forecast that the global healthcare expenditures may rise to $10.1 trillion by...

01.03.19
Digital medicine as a way to reduce healthcare paperwork

According to Frost&Sullivan, the market of digital healthcare solutions will reach $6 billion by 2021...