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Varna Medical Forum

A study of students' perspectives on the application of artificial intelligence in medicine

Zeyneb Ismetova, Ayshe Ahmed, Tyulin Fahredin, Berna Suleyman, Milena Nankova, Katya Genova

Abstract

Artificial intelligence and its related technologies are becoming increasingly prevalent in business and society, and they are beginning to be used in healthcare. These technologies have the potential to transform many aspects of medicine, patient care, and administrative processes.

Aim: The aim of this scientific study is to analyze the opinions of students from the Medical University of Varna regarding the application of artificial intelligence in medicine.

Materials and Methods: Documentary analysis of available literature and a direct anonymous survey conducted from February to April 2024.

Conclusions and Results: The study shows that more than half of the students (62%) use artificial intelligence in their daily lives, with a significant portion of them (42%) using it several times a week. However, 23% of respondents do not use these technologies at all, highlighting a divide in the degree of acceptance and usage. Respondents identify the field of laboratory analysis as the most necessary for training and working with AI. More than two-thirds of them are willing to work with AI in their medical practice but express concerns about barriers such as lack of training, computer literacy, and time. Additionally, significant barriers to communication through AI are particularly analyzed between the medical team and the patient's relatives, underscoring the need to build trust in innovative technologies in a clinical setting.

In conclusion, artificial intelligence promises to change the way healthcare operates by offering new opportunities to improve patient care and the efficiency of medical processes. However, to fully utilize its potential, issues related to ethics, training, and regulations need to be addressed.


Keywords

students, artificial intelligence, medicine

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References

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DOI: http://dx.doi.org/10.14748/vmf.v13i2.9816

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