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Domestic doctors are familiar with and use artificial intelligence

  • 2025-02-07 00:00:00
  • Research

Artificial intelligence is becoming increasingly talked about these days, appearing in more and more areas of private life and business use, and expectations are high. Healthcare is no exception, including areas such as diagnostics, treatment planning and disease management, real-time data analysis, risk assessment, forecasting, administrative process support, scientific research, and drug development.

The goals of using artificial intelligence are clear: to make the healthcare system more efficient, more accurate, and ideally less expensive, and to alleviate the problems caused by the shortage of healthcare professionals.

In November 2024, Szinapszis conducted a study to assess Hungarian doctors' current knowledge of the technical possibilities offered by artificial intelligence in healthcare and medicine, as well as their perceptions and expectations regarding the use of artificial intelligence in medicine. A total of 386 general practitioners and specialists participated in the research, representing a nationally representative sample in terms of age, gender, region, and specialty.

 

A large proportion of Hungarian doctors have encountered AI solutions, and many have already used some kind of tool for their own purposes.

 

 

In the field of medicine, 29% already use AI solutions, primarily in diagnostics or in connection with their own research area. Doctors unanimously see the benefits of the technology and have high expectations for the future.

Of course, they see a number of risk factors, such as data security and legal and ethical responsibility issues, and they also feel that patients tend not to trust AI at this stage, which could have a negative impact on the doctor-patient relationship.

We are currently in the pioneering phase, and almost all doctors are open to training on this topic in order to become more informed, as artificial intelligence is already here and is inexorably and probably faster than expected entering the field of medicine.

Balázs Kertész