An overview of the field and the current development of artificial intelligence (AI). Overview of seminar topics.

Basic settings, neural networks tasks. Their role and application in machine learning. The elements of the Turing test. Importance and significance in the biomedical field.

Application of neural networks in a laboratory environment. Presentation of the concept of the genetic algorithm. Defining important parameters.

Analysis of biomedical robotics examples. Advantages and disadvantages of using artificial intelligence in biomedical robotics.

The utilization of artificial intelligence-based systems is analyzed, emphasizing laboratory and clinical case studies. The advantages and methodologies of usage are explored. Additionally, potential disadvantages and technological limitations are discussed, highlighting the critical assessment of AI's application in various fields.

Advanced technological solutions based on artificial intelligence. Presentation of application in biomedical systems. Presentation of the technological solution.

An overview of the development trends. Emphasis on the practical application of artificial intelligence.