The sociological neural network "Prognozist" has shown that Russians clearly distinguish between medical technologies and self-medication.
At the round table of the XIV Congress "Orgzdrav-2026", data from the sociological neural network "Prognozist" was presented: 62.3% trust doctors with AI, but 54.3% are categorically against self-treatment using algorithms
While the self-medication rate in Russia remains at 33% (data from VTsIOM), and the habit of seeking medical advice is transforming from "demanding a blogger" to "requesting a neural network," Russian society draws a rigid line between the professional use of AI and digital self-medication. These findings became the central theme of the roundtable discussion "The Trust Dilemma: AI, Bloggers, and Official Medicine," held at the 14th Orgzdrav-2026 Congress in Moscow.
According to VTsIOM, over the past 10 years, citizens have become less likely to visit state clinics, compensating for this with an increase in self-diagnosis. While two decades ago, medical advice was sought from relatives and fortune tellers, in the 2000s, it was social media, and today, it's generative models, the new digital landscape is giving rise to unexpected patterns of trust.
The specialized sociological neural network "Prognozist," trained on a national dataset taking into account Russia's cultural and historical characteristics, modeled public reactions and presented point data on key dilemmas in modern medicine:
AI in the hands of doctors—trust is growing. 62.3% of Russians are willing to trust specialists who use artificial intelligence to diagnose and prescribe treatment. The highest approval rate is recorded in the 45-59 age group (67.1%). Skepticism is concentrated among those aged 25-34 (31.7%) and 35-44 (30.1%), which experts attribute to high media literacy, fear of the "hallucinations" of large language models, and information noise.
AI for self-medication is a categorical ban. Despite the popularity of neural networks, 54.3% of respondents oppose the use of AI prompts for self-medication. It's noteworthy that even the youngest audiences support this ban. Among those aged 18-24, 57.2% oppose AI self-medication, demonstrating a clear understanding of the technology's limitations.
Doctor bloggers are losing their monopoly, but not their audience. Perceptions of medical content on social media are highly polarized: 50.2% see blogs as useful, 26.6% consider them dangerous, and 23.2% consider them downright useless. Younger people (18-24) are more likely to rate blogs as "useless" (33%), while those aged 60+ are more likely to see them as a threat (28.7%). "Society clearly distinguishes between the professional use of AI by doctors and independent digital experiments with health," stated the discussion participants.
Demand for systemic change. 70.9% positively evaluate the Ministry of Health's plans to optimize reporting forms using digital solutions. At the same time, 55.8% support the transition from insurance-based financing of healthcare to direct state funding, although among citizens aged 60+ there is a split (~47.4% for / ~47.1% against), reflecting the conservatism of the older generation towards social security reforms.
Thus, according to a virtual survey conducted by Prognozist, artificial intelligence will not displace physician bloggers, but will force them to evolve toward creating verified expert content free of intrusive advertising. At the same time, pharmaceutical companies' advertising budgets will begin to shift from social media to AI assistants and clinical platforms with verified expertise. Social media will retain its position, but its medical segment will transform into a "trust filter": users will seek not general advice, but verified protocols and professional explanations of diagnoses. The main demand of patients in 2026 is not to replace doctors with algorithms, but to establish transparent rules of interaction along the "patient - AI assistant - doctor" chain.
The sociological neural network "Prognozist" was first presented to the general public at a press conference at the National News Service on April 23, 2026. Its creators, the Digital World Union and the RUSSOFT Association, emphasized that "Prognozist" was trained on verified national data, taking into account Russia's cultural and historical characteristics, and was free of systemic prompts that limit objectivity. "Prognozist" is a specialized emulator model. Unlike mass-market chatbots, it responds exactly as real social groups would react during decision-making.
"The modeling results clearly highlight the main trend: Russians are not afraid of technology per se; they are wary of its uncontrolled and unprofessional use. The task of the professional medical community today is not to engage in confrontation with bloggers or neural networks, but to establish clear standards for content verification. "AI won't replace doctors, but it will become an essential tool for improving the accuracy of clinical decisions and reducing the workload of specialists. "It's essential to create transparent rules of interaction in the patient-AI assistant-doctor chain so that technologies strengthen, rather than erode, trust in official medicine," noted Valery Korneev, Chairman of the Digital World Union, who presented the modeling results at the session.
According to VTsIOM, over the past 10 years, citizens have become less likely to visit state clinics, compensating for this with an increase in self-diagnosis. While two decades ago, medical advice was sought from relatives and fortune tellers, in the 2000s, it was social media, and today, it's generative models, the new digital landscape is giving rise to unexpected patterns of trust.
The specialized sociological neural network "Prognozist," trained on a national dataset taking into account Russia's cultural and historical characteristics, modeled public reactions and presented point data on key dilemmas in modern medicine:
AI in the hands of doctors—trust is growing. 62.3% of Russians are willing to trust specialists who use artificial intelligence to diagnose and prescribe treatment. The highest approval rate is recorded in the 45-59 age group (67.1%). Skepticism is concentrated among those aged 25-34 (31.7%) and 35-44 (30.1%), which experts attribute to high media literacy, fear of the "hallucinations" of large language models, and information noise.
AI for self-medication is a categorical ban. Despite the popularity of neural networks, 54.3% of respondents oppose the use of AI prompts for self-medication. It's noteworthy that even the youngest audiences support this ban. Among those aged 18-24, 57.2% oppose AI self-medication, demonstrating a clear understanding of the technology's limitations.
Doctor bloggers are losing their monopoly, but not their audience. Perceptions of medical content on social media are highly polarized: 50.2% see blogs as useful, 26.6% consider them dangerous, and 23.2% consider them downright useless. Younger people (18-24) are more likely to rate blogs as "useless" (33%), while those aged 60+ are more likely to see them as a threat (28.7%). "Society clearly distinguishes between the professional use of AI by doctors and independent digital experiments with health," stated the discussion participants.
Demand for systemic change. 70.9% positively evaluate the Ministry of Health's plans to optimize reporting forms using digital solutions. At the same time, 55.8% support the transition from insurance-based financing of healthcare to direct state funding, although among citizens aged 60+ there is a split (~47.4% for / ~47.1% against), reflecting the conservatism of the older generation towards social security reforms.
Thus, according to a virtual survey conducted by Prognozist, artificial intelligence will not displace physician bloggers, but will force them to evolve toward creating verified expert content free of intrusive advertising. At the same time, pharmaceutical companies' advertising budgets will begin to shift from social media to AI assistants and clinical platforms with verified expertise. Social media will retain its position, but its medical segment will transform into a "trust filter": users will seek not general advice, but verified protocols and professional explanations of diagnoses. The main demand of patients in 2026 is not to replace doctors with algorithms, but to establish transparent rules of interaction along the "patient - AI assistant - doctor" chain.
The sociological neural network "Prognozist" was first presented to the general public at a press conference at the National News Service on April 23, 2026. Its creators, the Digital World Union and the RUSSOFT Association, emphasized that "Prognozist" was trained on verified national data, taking into account Russia's cultural and historical characteristics, and was free of systemic prompts that limit objectivity. "Prognozist" is a specialized emulator model. Unlike mass-market chatbots, it responds exactly as real social groups would react during decision-making.
"The modeling results clearly highlight the main trend: Russians are not afraid of technology per se; they are wary of its uncontrolled and unprofessional use. The task of the professional medical community today is not to engage in confrontation with bloggers or neural networks, but to establish clear standards for content verification. "AI won't replace doctors, but it will become an essential tool for improving the accuracy of clinical decisions and reducing the workload of specialists. "It's essential to create transparent rules of interaction in the patient-AI assistant-doctor chain so that technologies strengthen, rather than erode, trust in official medicine," noted Valery Korneev, Chairman of the Digital World Union, who presented the modeling results at the session.
