Artificial Intelligence (AI) in Imaging (RAK_027)

The study course "Artificial intelligence in imaging" is intended for in-depth understanding of the versatile application of radiology data in clinical medicine using digitization tools.
With the development of technology, the volume of radiology images and data has grown rapidly, increasing the workload of radiologists and requiring more detailed solutions and innovative approaches to solutions for various clinical needs, including the speed of data circulation. In this context, artificial intelligence (AI), which is increasingly integrated into daily practice in today's radiology, offers ample opportunities to improve the diagnostic process of radiology. AI can help prioritize patients with more severe and acute pathologies for faster diagnosis, choose appropriate image acquisition protocols, automate various measurements, image analysis and interpretation, compare current and previous examination images, automate examination description with voice-to-text conversion programs and optimize conclusion standardization, thereby reducing the consumption of resources and the time until the diagnosis is obtained and, therefore, the timely initiation of therapy through a multifaceted approach. This allows radiologists to pay attention to the most complex cases earlier and to facilitate and speed up the diagnostic process, thus improving the quality of patient care. Visual information modeling for individual needs is also needed in stomatology, rehabilitation and traumatology-orthopedics, as well as in other sectors, and AI solutions are becoming more relevant in the evaluation of implants and biomechanics.