Industry 4.0
Vol. 10 (2025), Issue 4, pg(s) 122-127

TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”

The Evolution, Current Impact and Future of Artificial Intelligence in Medicine

  • 1 National Institute of Endocrinology and Diabetology, Ľubochňa, Slovakia; University of Žilina, Faculty of Mechanical Engineering, Žilina, Slovakia
  • 2 University of Žilina, Faculty of Mechanical Engineering, Žilina, Slovakia
  • 3 National Institute of Endocrinology and Diabetology, Ľubochňa, Slovakia

Abstract

The application of artificial intelligence (AI) in medicine has emerged as a topic of global interest. Since the introduction of the term in the mid of 20th century, there has been considerable progress in the development of computer systems, leading into their integration into healthcare. At present, AI is increasingly being adopted across a growing number of medical specialties, where it contributes not only to diagnostic processes but also to the selection of appropriate treatments and the prediction of patient outcomes. AI prediction is particularly useful in the management of chronic conditions. Furthermore, AI demonstrates significant potential to expedite routine procedures, thereby allowing healthcare professionals to dedicate more time to cognitively demanding tasks, in which AI systems continue to present certain limitations. Nevertheless, despite notable advancements in recent years, several challenges must still be addressed in future research. These include the formulation of standards and guidelines for AI implementation, the assurance of cybersecurity to safeguard sensitive data, and the continuous education and training of healthcare practitioners. In conclusion, AI holds considerable promise for enhancing the quality and efficiency of healthcare delivery. Its role is not to replace human professionals, but rather to augment their performance and optimize the use of their time and expertise.

Keywords

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