Evidence map›Paper›PMID 37442981›Full record

ArticleBMC health services research2023

Opinion research among Russian Physicians on the application of technologies using artificial intelligence in the field of medicine and health care.

I A Orlova, Zh A Akopyan, A G Plisyuk, E V Tarasova, E N Borisov, G O Dolgushin, E I Khvatova, M A Grigoryan, L A Gabbasova, A A Kamalov

Abstract read
In one paragraph

Article in BMC health services research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

I A OrlovaMedical Research and Education Center of Lomonosov, Moscow State University, 27/10 Lomonosov Prospect, Moscow, 119192, Russia.
Zh A AkopyanMedical Research and Education Center of Lomonosov, Moscow State University, 27/10 Lomonosov Prospect, Moscow, 119192, Russia.
A G PlisyukMedical Research and Education Center of Lomonosov, Moscow State University, 27/10 Lomonosov Prospect, Moscow, 119192, Russia.
E V TarasovaMedical Research and Education Center of Lomonosov, Moscow State University, 27/10 Lomonosov Prospect, Moscow, 119192, Russia. ETarasova@mc.msu.ru.
E N BorisovMedical Research and Education Center of Lomonosov, Moscow State University, 27/10 Lomonosov Prospect, Moscow, 119192, Russia.
G O DolgushinFaculty of Fundamental Medicine, Lomonosov Moscow State University, 27/1 Lomonosov Prospect, Moscow, 119192, Russia.
E I KhvatovaFaculty of Fundamental Medicine, Lomonosov Moscow State University, 27/1 Lomonosov Prospect, Moscow, 119192, Russia.
M A GrigoryanFaculty of Fundamental Medicine, Lomonosov Moscow State University, 27/1 Lomonosov Prospect, Moscow, 119192, Russia.
L A GabbasovaMedical Research and Education Center of Lomonosov, Moscow State University, 27/10 Lomonosov Prospect, Moscow, 119192, Russia.
A A KamalovMedical Research and Education Center of Lomonosov, Moscow State University, 27/10 Lomonosov Prospect, Moscow, 119192, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo date, no opinion surveys has been conducted among Russian physicians to study their awareness about artificial intelligence. With a survey, we aimed to evaluate the attitudes of stakeholders to the usage of technologies employing AI in the field of medicine and healthcare and identify challenges and perspectives to introducing AI.

methodsWe conducted a 12-question online survey using Google Forms. The survey consisted of questions related to the recognition of AI and attitudes towards it, the direction of development of AI in medicine and the possible risks of using AI in medicine.

results301 doctors took part in the survey. 107 (35.6%) responded that they are familiar with AI. The vast majority of participants considered AI useful in the medical field (85%). The advantage of AI was associated with the ability to analyze huge volumes of clinically relevant data in real time (79%). Respondents highlighted areas where AI would be most useful-organizational optimization (74%), biopharmaceutical research (67%), and disease diagnosis (52%). Among the possible problems when using AI, they noted the lack of flexibility and limited application on controversial issues (64% and 60% of respondents). 56% believe that AI decision making will be difficult if inadequate information is presented for analysis. A third of doctors fear that specialists with little experience took part in the development of AI, and 89% of respondents believe that doctors should participate in the development of AI for medicine and healthcare. Only 20 participants (6.6%) responded that they agree that AI can replace them at work. At the same time, 76% of respondents believe that in the future, doctors using AI will replace those who do not.

conclusionsRussian doctors are for AI in medicine. Most of the respondents believe that AI will not replace them in the future and will become a useful tool. First of all, for optimizing organizational processes, research and diagnostics of diseases.

trial registrationThis study was approved by the Local Ethics Committee of the Lomonosov Moscow State University Medical Research and Education Center (IRB00010587).

Indexed as

Artificial IntelligencePhysiciansAttitudeDelivery of Health CareHumansRussiaAIArtificial intelligenceAwarenessPhysicians

Identifiers

PMID37442981
PMCPMC10339534

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.