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571
PROSPECTS OF USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES IN
TEACHING MEDICAL TECHNOLOGY MANAGEMENT
Shavkatov Otabek Kozimbek ugli
Andijon state technical institute,
Trainee teacher of the Department of Metrology and Light Industry,
Abstract
: This article analyzes the importance, possibilities, and practical application of the use
of digital technologies and artificial intelligence (AI) in teaching the subject of Medical
Technology Management. The article discusses how to help create interactive and personalized
forms of education through digital technologies and AI, improve teachers' pedagogical
approaches, and increase student motivation. It was also noted that for the effective use of
technological tools, it is necessary to improve the qualifications of teachers and strengthen the
educational infrastructure. The article highlights the importance of modern technologies and
artificial intelligence in teaching medical technology management and emphasizes the
importance of their integration into the education system.
Keywords:
internet, artificial intelligence, method, virtual laboratory, visualization, modeling,
interactive, assessment, automation, integration.
Introduction. In our country today, as in all spheres, the role of computer technologies in
medicine is developing day by day. Taking this into account, the development of Internet
technologies in the industry remains a key issue. The Internet is uniting different people with a
single goal. Everyone tries to get some kind of information from the Internet. The internet
network is developing day by day. The main reason for this is the increase in the number of
information resources covering all spheres of our society. If we talk about artificial intelligence
technologies, cloud technologies, and smart technologies, which are developing and at the center
of attention today, these technologies can help us in many areas at every step. [1]
Currently, such technologies are widely used in the field of education. The role of such
technologies in the independent learning of students is especially invaluable. Today's youth have
almost no need to wait for any information, study any field, whether it's language learning or
studying modern fields, covering certain distances, browsing books for hours, or having some
teacher's free time. Many of our young people, who have studied and used such technologies to
the fullest extent, are achieving good results. [2]
Today, every subject teacher is entrusted with the task of knowing modern computer
technologies in addition to their specialized subject. Every teacher who aims to provide quality
education and upbringing to students in line with the times approaches the fulfillment of such
tasks with responsibility. Let's now consider the advantages of combining artificial intelligence
with traditional teaching methods to provide quality education and upbringing to students and
make classroom lessons more attractive, attracting students' attention to the lesson. [3]
The rapid development of artificial intelligence (AI) technologies opens up new opportunities for
improving the education system, including the teaching of medical and technical sciences.
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Mastering the discipline "Medicine Technology Management" requires students to
comprehensively understand the fundamental concepts and concepts of effective management of
all medical devices in the healthcare system, the formation and development of knowledge and
skills. The use of artificial intelligence technologies in medical technology management lessons
can significantly increase the effectiveness of teaching this subject, bringing the educational
process to an interactive, individually oriented, and improved form based on advanced scientific
achievements. [4] Valuable data on the use of artificial intelligence in teaching this subject has
been collected in several foreign countries. The role of artificial intelligence in education
consists in improving the student's experience based on a personalized approach and providing
personalized recommendations. Systems based on artificial intelligence can assess the individual
strengths and weaknesses of a student, adapt lessons to meet their specific needs, and provide
feedback and recommendations in real time. Such a personality-oriented approach helps students
master complex concepts more effectively and at a peculiar pace. AI systems are systems
designed to analyze and interpret data, identify patterns, and make predictions or
recommendations based on collected data. [5]
In healthcare, AI can play a crucial role in facilitating the understanding of abstract and complex
principles. In recent years, the following main trends in the use of artificial intelligence in
teaching the subject of medical technology management have been observed in foreign research:
-virtual laboratories: using artificial intelligence simulations to create interactive virtual
laboratories where students can conduct experiments. Such virtual laboratory work allows for the
safe study of complex or dangerous processes.
- visualization and modeling: the application of artificial intelligence generators in medicine for
the dynamic visualization and creation of 3D models of concepts such as the motion of physical
objects, electromagnetic fields, and quantum phenomena. This direction helps students better
understand biophysical principles.
- interactive learning systems: development of flexible artificial intelligence systems that monitor
the dynamics of students' mastery of specialized subjects, identify problems in it, and offer
personal explanations and practical tasks. Such systems are useful for students in consolidating
knowledge and developing problem-solving skills.
- automation of assessment: the use of artificial intelligence technologies for automatic
verification and assessment of scientific calculations, laboratory reports, and written works. This
Volume 15 Issue 05, May 2025
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allows teachers to spend less time regularly assessing student performance and focus more on
individual support.
- Integration with other educational technologies: Combination of artificial intelligence systems
with other educational technologies such as augmented reality, virtual simulators, and cloud
computing. This method will help create comprehensive digital ecosystems that positively affect
the effectiveness of subject teaching. [6]
The above-mentioned trends in artificial intelligence, indicating that it is becoming a modern,
integral part of teaching the discipline of medical technology management in universities,
contribute to ensuring greater interactivity of learning processes, individualization, and
adaptation to other technologies.
In recent years, research on the use of artificial intelligence in teaching the subject of medical
technology management in educational institutions has been actively conducted in such countries
as the USA, China, Italy, Japan, and Germany. Advanced foreign experience shows that the
integration of artificial intelligence technologies into medical engineering education has broad
opportunities for reforming traditional teaching methods. A comprehensive study of scientific
literature allows us to identify the advantages, problems, and promising directions of using
artificial intelligence in education. [7].
Artificial intelligence-based tools, such as intelligent tutoring systems and personalized learning
platforms, allow for individualized learning tailored to students' individual needs and learning
styles. Additionally, AI's real-time feedback and evaluation capabilities increase the
effectiveness of student assessment. Automated assessment systems analyze student performance,
track progress, identify existing problem areas, facilitate timely intervention, and expand
opportunities for targeted support from teachers. Also, intellectual agents, chatbots, and virtual
tutors promote an interesting and interactive learning environment, encouraging discussions and
debates among the student's peers. [8]
However, the successful implementation of AI in teaching this subject also has its own
complexities. When implementing artificial intelligence technologies in educational institutions,
the availability of technical infrastructure, ensuring confidentiality and data security are of great
importance. When developing AI applications or selecting them for use in the educational
process, it is necessary to carefully consider such issues as data protection, security, and
algorithmic bias, paying special attention to the priority of the student's interests. It is necessary
to train and improve the qualifications of teachers who have knowledge and skills in the methods
of using AI in the educational process. In these processes, along with bringing the necessary
modern knowledge to the attention of future teachers and educators, it is important to ensure
cooperation between researchers, educational management bodies, educators, and other
interested parties working in these areas. If necessary, it will be necessary to make the necessary
additions and amendments to the regulatory framework. [9]
Conclusion. In conclusion, it can be said that the study of the influence of individual learning
approaches based on artificial intelligence on students' academic performance, long-term
memory, and memorization skills can provide valuable information about the stability and
effectiveness of AI tools. In addition, taking into account the growing scale of the use of
artificial intelligence in education, it is important to conduct research on information security and
ethical consequences. Studying confidentiality, transparency, and fairness in artificial
intelligence algorithms, conducting scientific research to mitigate the influence of bias and
Volume 15 Issue 05, May 2025
Impact factor: 2019: 4.679 2020: 5.015 2021: 5.436, 2022: 5.242, 2023:
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potential discrimination in artificial intelligence-based learning systems is necessary to ensure
equal access to AI for all. The study of the influence of different cultures, age groups, the
learning environment, and educational conditions on the effectiveness of adaptive learning and
individual approaches based on artificial intelligence is also an important scientific and
methodological problem. In this regard, it can be said that many studies on the use of artificial
intelligence in education, including the teaching of medical technology management, await us in
the future.
List of used literature
1. Uzbekistan Agency for Standardization, Metrology and Certification,
Resolution of the Ministry of Health of the Republic of Uzbekistan. Tashkent-2017
2. Zakirov, A., & Qodirov, N. (2018). Implementation of innovative technologies and digital
transformation in Uzbekistan. Tashkent: Science and Technology.
3. F Mahligawati1, 2 Artificial intelligence in Physics Education: a comprehensive literature
review Journal of Physics 2023
4. Gulyomov S.S. et al. “Information systems and technologies”. Textbook for students of higher
education institutions. - T: «Sharq», 2000. 336-368 p.
5. Shavkatov, O. (2025). Study of technical maintenance and repair documents for medical
equipment. Vestnik transporta-Transport khabarnomasi, 2(2), 69-72.
6. Islamiy, N., Asadbek, I., & Shavkatov, O. (2022, February). ENSURING QUALITY AND
SAFETY OF AGRICULTURAL PRODUCTS ON THE BASIS OF INTERNATIONAL
STANDARDS. In Next Scientists Conferences (pp. 124-128).
7. Khilkhanov, A. A., & Tashkentov, M. (2022). Digital engineering: innovative approaches and
methodology. Tashkent: Ilm Ziyo.
8. Yoldashev, A. E. O., Nishonkulov, S. F. O., & Yoldasheva, M. R. Q. Information technologies
in education. Scientific progress, 2021.
9. Q.A. Bekmuratov. Artificial intelligence. A textbook for students of higher education
institutions. - T.: "Alokachi", 2019.
