ARTIFICIAL INTELLIGENCE AND MEDICINE: MODERN ACHIEVEMENTS AND PROSPECTS FOR APPLICATION

Introduction: In recent decades, artificial intelligence (AI) has become a key factor in modern medicine, bringing revolutionary changes to diagnostics, treatment, and healthcare management. This thesis will discuss current achievements in the application of AI in medicine, as well as explore the prospects for its use.

Considering the research methods employed, including documentary analysis, meta-analysis, content analysis, and observation, a comprehensive data analysis was conducted utilizing various information sources and approaches. The combination of a wide range of documents and content analysis aided in synthesizing findings from multiple studies, resulting in a multifaceted approach that enhanced the depth of understanding of the researched topic.

One of the key achievements in modern medicine supported by AI is its application in diagnosing various diseases. Projects such as IBM Watson already assist physicians in more accurately diagnosing and developing individualized treatment plans based on the analysis of large amounts of medical data. For example, doctors at Boston Children's Hospital use AI to search for necessary information in clinical databases and scientific journals, enabling more accurate diagnosis of rare childhood diseases. Another significant achievement is the application of AI in the analysis of medical images. Technologies from companies like MedyMatch use AI for precise disease diagnosis, such as stroke, by comparing patient scans with a vast database of medical images. This allows even the smallest deviations from the norm to be detected, reducing the likelihood of diagnostic errors. Moreover, AI is successfully used for predicting diseases and patient outcomes. Projects like Medtronic, in collaboration with IBM, use cognitive analytics on glucose meter and insulin pump data to predict critical blood sugar level decreases. This enables patients to better manage their health and avoid complications.

One of the key prospects for AI application in medicine is further development of robotics and mechatronics. Surgical robots like DaVinci are already demonstrating the potential for automating surgical procedures, increasing precision, and reducing risk for patients. Integrating robotics with AI opens up possibilities for performing complex manipulations and even automatically executing routine procedures. Another important prospect is the application of AI in analyzing and predicting events in healthcare. Real-time analysis of disease trends allows for rapid response to changes in patient attendance and the need for medications, enhancing the efficiency of medical institutions. Additionally, the potential of AI for automating and optimizing processes in medical practice should be considered, such as maintaining electronic medical records, automatic ECG coding, and biological sample analysis. This will reduce time and cost of examinations, improve the quality of medical institutions' work, and provide a higher level of healthcare for patients.

Current achievements in artificial intelligence in medicine open up new prospects, providing opportunities for more precise diagnosis, effective treatment, and healthcare management optimization. However, the successful application of AI in medicine requires strict adherence to regulatory and ethical principles, as well as further research and development to ensure safe and effective use of technologies.

Conclusion

Artificial Intelligence has already demonstrated its profound impact on the field of medicine, significantly improving diagnostic accuracy, treatment personalization, and operational efficiency. The integration of AI technologies, such as machine learning, natural language processing, and computer vision, is enabling healthcare systems to provide more timely, precise, and cost-effective solutions. However, the full realization of AI’s potential in medicine requires overcoming challenges related to data security, ethical concerns, and the need for comprehensive clinical validation. As we look to the future, interdisciplinary collaboration between AI researchers, healthcare professionals, and policymakers will be essential to ensure that AI innovations are implemented safely and equitably. With continued advancements, AI is poised to play a pivotal role in the evolution of precision medicine, early disease detection, and the overall enhancement of global healthcare systems.