ISSN:
2181-3906
2025
International scientific journal
«MODERN
SCIENCE
АND RESEARCH»
VOLUME 4 / ISSUE 1 / UIF:8.2 / MODERNSCIENCE.UZ
1020
USING ARTIFICIAL INTELLIGENCE IN PUBLIC HEALTH
Isaqova Sevaraxon Oʻktamjon qizi
Student of the Fergana branch of the Tashkent University of Information Technologies named
after Muhammad al-Khwarizmi
Inomjonov Axrorbek Elyorbek oʻgʻli
Student of the Fergana branch of the Tashkent University of Information Technologies named
after Muhammad al-Khwarizmi
axrorbe9944@gmail.com
Kimsanboyeva Gulsanam Abdurashid qizi
Student of the Fergana branch of the Tashkent University of Information Technologies named
after Muhammad al-Khwarizmi
kimsanboyevagulsanam2206@gmail.com
Turdaliyeva Nafosatxon Donyorxo‘ja qizi
Student of the Fergana branch of the Tashkent University of Information Technologies named
after Muhammad al-Khwarizmi
nafosatxonturdaliyeva02@gmail.com
Jo'rayeva Fazilatxon Hatamjon qizi
Student of the Fergana branch of the Tashkent University of Information Technologies named
after Muhammad al-Khwarizmi
jorayevafazilatxon48@gmail.com
https://doi.org/10.5281/zenodo.14756661
Abstract. Today, the introduction of artificial intelligence (AI) systems in medicine is one
of the most important modern trends in global healthcare. AI technologies are fundamentally
changing the global healthcare system, allowing for a complete redesign of the medical diagnostic
system, the creation of new drugs, and a simultaneous reduction in costs for medical clinics.
Equipped AI devices can extract valuable information from large volumes of data, offering ideas
for use in various fields. Providing valuable information about treatment options: With the help
of AI technologies, doctors can find information in the medical literature to support medical
decision-making. Supporting user needs: thereby helping to increase user awareness by providing
access to comprehensive information about the state of health.
ISSN:
2181-3906
2025
International scientific journal
«MODERN
SCIENCE
АND RESEARCH»
VOLUME 4 / ISSUE 1 / UIF:8.2 / MODERNSCIENCE.UZ
1021
Keywords: Artificial intelligence, genomics, biotechnology, telemedicine, robotics,
automation, nanotechnology, the future of AI in medical sciences.
ИСПОЛЬЗОВАНИЕ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА В
ОБЩЕСТВЕННОМ ЗДРАВООХРАНЕНИИ
Аннотация. Внедрение системы искусственного интеллекта (ИИ) в медицине
сегодня является одним из важных современных трендов мирового здравоохранения.
Технологии СИ коренным образом изменят мировую систему здравоохранения,
позволив полностью перестроить систему медицинской диагностики, создать новые
лекарства и одновременно снизить затраты медицинских клиник. Оборудованные
инструменты SI могут извлекать ценную информацию из больших объемов данных,
предлагая идеи, которые можно применить в различных областях. Предоставление ценной
информации о вариантах лечения. Благодаря технологиям SI врачи могут найти в
медицинской литературе информацию, необходимую для принятия медицинских решений.
Поддержка потребностей пользователей: SI обеспечивает поиск и предоставление
информации, тем самым помогая повысить осведомленность пользователей за счет
доступа к комплексной медицинской информации.
Ключевые слова: Искусственный интеллект, геномика, биотехнологии,
телемедицина, робототехника, автоматизация, нанотехнологии, будущее ИИ в медицине.
Introduction
Artificial intelligence computer systems are widely used in the medical sciences. Common
applications include diagnosing patients, discovering and developing drugs, improving
communication between doctors and patients, transcribing medical documents such as
prescriptions, and treating patients remotely. While computer systems often perform tasks more
efficiently than humans, recently state-of-the-art computer algorithms have achieved accuracy
comparable to human experts in the medical sciences. Some believe that it is only a matter of time
before humans are completely replaced in certain roles in the medical sciences. The purpose of
this article is to discuss how artificial intelligence is changing the landscape of medical science
and to separate the hype from the reality. These technologies help improve processes and reduce
errors. All of these areas form the basis of modern medicine and aim to provide highly effective,
integrative approaches to healthcare.
ISSN:
2181-3906
2025
International scientific journal
«MODERN
SCIENCE
АND RESEARCH»
VOLUME 4 / ISSUE 1 / UIF:8.2 / MODERNSCIENCE.UZ
1022
Literature Review and Method
AI is a broad branch of computer science that deals with the creation of intelligent machines
capable of performing tasks that would normally require human intelligence. Some applications
of AI include automated interfaces for visual perception, speech recognition, decision-making, and
language translation. AI is an interdisciplinary field. The term AI was first coined in 1956 by
American computer scientist John McCarthy et al. at the Dartmouth Conference. Prior to this,
work in the field of artificial intelligence included the Turing test, proposed by Alan Turing as a
measure of machine intelligence, and the chess-playing program written by Dietrich Prinz.
Artificial intelligence systems in healthcare follow a typical pattern. Such a system starts with a
large amount of data, uses machine learning algorithms to extract information from this data, and
then uses this data to generate useful results to solve a well-defined problem in the healthcare
system. Figure 1 illustrates a typical workflow of an AI solution. Applications of AI in the field of
medical sciences include matching patient symptoms to the appropriate doctor, patient diagnosis,
patient prognosis, drug discovery, bot assistants that can translate languages, transcribe notes, and
organize images and files.
The use of AI can open up the following ways to bring additional innovations to medicine.
Creation of new and high-quality AI applications and platforms. These applications help
provide highly efficient technologies for clinical diagnosis, treatment planning, and data analysis.
AI is used in all areas of medicine, such as radiology, pathology, cardiology, etc. New AI
applications and applications are designed to be used in these areas, improving it technologically.
AI improves interactive communication with users and helps provide personalized training.
This makes it easier for medical professionals to learn and update the database. Artificial
intelligence helps to continue the development of medicine and find solutions to problems in the
field of medicine. This ensures more effective and better results in clinical diagnosis and treatment.
Biomedicine is a field that is associated with the application of biological tools and
biotechnology to medicine to develop scientific, clinical and industry indicators. The first issues
of biomedicine are genomics and genetics. In this field, it is important to support genetic data and
genomic models, create personalized treatment plans, and create new therapeutic approaches based
on genetic models.
Biomedicine deals with improving clinical diagnosis and prognostic plans based on
biomarkers and biological signs in diagnostic processes.
ISSN:
2181-3906
2025
International scientific journal
«MODERN
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АND RESEARCH»
VOLUME 4 / ISSUE 1 / UIF:8.2 / MODERNSCIENCE.UZ
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This allows you to prevent the development of the disease, evaluate the results of treatment,
and create personalized treatment plans.
Despite the above limitations, AI is well-positioned to revolutionize the healthcare
industry. AI systems can help free up time for busy doctors by transcribing notes, entering and
organizing patient information, and diagnosing patients, while also serving as a means of providing
second opinions to doctors. Artificial intelligence systems can also help patients with follow-up
care and the availability of alternative prescription drugs. AI also has the ability to diagnose
patients remotely, thereby expanding healthcare services beyond the world’s major urban centers.
The future of AI in healthcare is bright and promising, but much remains to be done. The
negative impact of modern technology on mental health is numerous. However, researchers at the
University of Southern California (USC), in collaboration with the Defense Advanced Research
Projects Agency and the US Army, have found that people suffering from post-traumatic stress
disorder and other forms of mental distress are more open about discussing their concerns with
virtual people than with virtual people. Real people for fear of judgment. This study has promising
results for the role of virtual assistants, which ultimately collect accurate responses from patients,
which will help doctors diagnose and treat their patients correctly and be better informed. Given
the impact that AI and machine learning will have on our wider world, it is crucial that AI is part
of the curriculum for a range of domain experts. This is especially true for the medical profession,
where the cost of a wrong decision can be fatal. As we will see here, there is a lot of nuance in
how an AI system is built. Understanding this process and the choices that go along with it are
important for the proper use of this automated system. The data used for learning and the
optimization strategy will have a profound impact on the application of the AI system to a
particular problem. Understanding and evaluating these design decisions is important for the
medical profession. Artificial intelligence can help solve many of the biggest challenges in
healthcare, but we are still a long way from making it a reality. The big challenge and obstacle to
making it a reality is data. We can invent all the promising technologies and machine learning
algorithms, but without sufficient and well-presented data, we will not be able to realize the full
potential of AI in healthcare. The healthcare industry needs to digitize medical records, it needs to
come together to agree on standardization of data infrastructure, it needs to create an iron-clad
system to protect privacy and obtain informed consent from patients. Without this fundamental
change and collaboration in healthcare, it is difficult to achieve the true promise of AI to help
people’s health.
ISSN:
2181-3906
2025
International scientific journal
«MODERN
SCIENCE
АND RESEARCH»
VOLUME 4 / ISSUE 1 / UIF:8.2 / MODERNSCIENCE.UZ
1024
Discussion
The main directions of modern medicine are currently the development of artificial
intelligence and data analysis, which provide highly effective diagnosis and treatment in medicine.
Artificial intelligence algorithms help in reading clinical data, making diagnoses, and
planning treatment.
•
Clinical diagnosis and diagnostic assistance. Artificial intelligence makes diagnoses based
on clinical images and data. For example, radiological images, tomography results, and MRI scans
are analyzed by algorithms based on the data provided.
•
Data analytics: Artificial intelligence performs data analysis in medicine based on clinical
information, laboratory results, unchanging historical data, and other sources. This improves the
analysis, prognosis, and treatment plans of diseases.
•
Personalization and prognostics: Artificial intelligence helps in creating personalized
treatment plans for each individual. Based on genomics and clinical data, artificial intelligence
collects information that is tailored to the individual and shapes the treatment.
•
Robotics and automation: In medicine, robots and automated devices are used in clinical
operations and treatment processes. Artificial intelligence also plays an important role in
optimizing clinical processes for robots.
Artificial intelligence improves consultations in telemedicine. It enables sharing and
displaying information with experts in other regions or remote locations. The application of
artificial intelligence in medicine makes medicine more efficient, better results are obtained, and
helps create breakthrough technologies in the fight against diseases. Clinical imaging and
diagnostics helps in analyzing radiological images (such as X-rays, MRIs, and CT scans) and
identifying diseases. This speeds up radiological diagnosis in medicine and allows for more
accurate diagnosis.
Artificial intelligence helps in medical analysis of genomic data and creating personalized
treatment plans. This allows for the creation of individual therapy plans based on the genetic
characteristics of each individual. Artificial intelligence helps in improving treatment plans based
on clinical data and results. This is used to improve dosing plans and treatment protocols. Clinical
latency optimization: Artificial intelligence helps in improving clinical processes and optimizing
treatment processes. This helps in the best use of medical services and resources and improving
clinical performance. Artificial intelligence is used to study the prognosis of diseases based on
clinical data, laboratory results, unchanging historical data and other sources.
ISSN:
2181-3906
2025
International scientific journal
«MODERN
SCIENCE
АND RESEARCH»
VOLUME 4 / ISSUE 1 / UIF:8.2 / MODERNSCIENCE.UZ
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This helps to prevent the development of diseases and create personalized treatment plans.
The application of artificial intelligence in clinical practices, in creating treatment plans
and in other areas of medicine, provides highly effective technologies for improving health and
combating diseases.
Although artificial intelligence is important and useful in medicine, it also has several
disadvantages. One of the most important disadvantages of artificial intelligence in medicine is the
need for an accurate and complete data set. Sometimes the medical data set is not accurate and of
high quality, which can affect the ability of artificial intelligence to obtain accurate and effective
results. The provision of diagnostics and recommendations by artificial intelligence is of high
importance in terms of privacy and information security. The protection and confidentiality of
personal data are increasing. Artificial intelligence algorithms can be subject to change and errors.
Sometimes it is found that they can lead to misdiagnosis or errors in the creation of correct
treatment plans. Artificial intelligence is used in medicine for consultations and diagnostic
assistance, but this does not include management and understanding in communication with
people, and it cannot express opinions freely like humans. The use of artificial intelligence in
medicine raises legal and ethical issues. Along with these shortcomings, legal, information
security, and anti-human concerns must be addressed for artificial intelligence to be integrated and
used in medicine.
Results
The use of artificial intelligence (AI) technologies in medicine has grown significantly in
recent years, leading to revolutionary changes in diagnostics, treatment and optimization of
healthcare.
Diagnostics
• Medical image analysis: AI is used to analyze images such as X-rays, CT (computed
tomography), MRI (magnetic resonance imaging) and ultrasound. This technology provides
accurate and fast results in the detection of tumors, cardiovascular diseases and lung problems.
• Early disease detection: AI algorithms can help detect diseases at an early stage by
studying symptoms, such as diabetes, cancer and Alzheimer's disease.
Personalized medicine
• AI helps develop individual treatment plans based on each patient's genetic information,
medical history and lifestyle.
ISSN:
2181-3906
2025
International scientific journal
«MODERN
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АND RESEARCH»
VOLUME 4 / ISSUE 1 / UIF:8.2 / MODERNSCIENCE.UZ
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• In the process of drug synthesis, AI allows for the optimal dosage and drug selection for
patients.
AI-powered assistants
• Virtual assistants and chatbots: Used to answer patients’ simple questions, provide
information about medications, and monitor their health. For example, virtual assistants can
remind them to take their medications on time.
• Telemedicine: AI is essential for improving remote consultations.
Surgery and robotics
• AI-equipped surgical robots help surgeons perform delicate operations. For example, the
da Vinci Surgical System performs minimally invasive surgeries with precision.
• AI is used to assess conditions in real time during surgery.
Healthcare management
• Analyzing large amounts of data to predict disease spread and manage epidemics.
• Automating patient monitoring and treatment processes.
Clinical trials and drug development
• AI helps speed up and reduce the cost of drug trials. AI is an effective tool in the process
from preliminary tests to clinical trials.
• Analyzes all available research and data to develop new therapeutic methods.
Data Analytics
• Increases efficiency in the healthcare system by working with Big Data.
• Helps in making healthcare policies and decisions based on statistical data and analysis.
Benefits:
• Early detection and treatment of diseases.
• Improving the quality of medical services.
• Acceleration of diagnostic and treatment processes.
• Reducing the workload of medical personnel.
Risks and limitations:
• Data confidentiality and security.
• Possible errors due to incorrect operation of SI algorithms.
• Cost of technology and difficulties in its implementation.
Conclusion
ISSN:
2181-3906
2025
International scientific journal
«MODERN
SCIENCE
АND RESEARCH»
VOLUME 4 / ISSUE 1 / UIF:8.2 / MODERNSCIENCE.UZ
1027
Artificial intelligence (AI) technologies are revolutionizing modern medicine and playing
an important role in maintaining and improving public health. This technology creates great
opportunities for early detection of diseases, developing personalized treatment plans, automating
medical processes, and effectively managing healthcare services. With the help of AI, the
diagnostic process is accelerated and more accurate, as well as facilitating remote monitoring of
patients and epidemic control. At the same time, AI allows reducing the workload of medical
personnel and increasing the overall efficiency of the healthcare system. However, in order to fully
utilize the technology, it is necessary to ensure data confidentiality, increase the reliability of AI
algorithms, and solve the economic problems associated with its implementation. In the future,
further development of AI technologies will undoubtedly bring public health and the quality of
medical services to a new level. This opens up great opportunities for building a healthy society
and ensuring global progress in healthcare.
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