PROSPECTS FOR THE USE OF GENERATIVE ARTIFICIAL INTELLIGENCE IN THE HEALTHCARE SYSTEM

Atamanenko Vadim

At the present stage of social development, the use of artificial intelligence, which is based on the training of machines for information processing and decision-making, is an important driver of the development of many industries, and the healthcare system, is no exception. At the moment, there is no doubt that artificial intelligence will become the main part of digital healthcare systems that shape and support modern medicine, especially since the possibilities of using artificial intelligence are growing, including through the introduction of generative artificial intelligence focused on the control of neural network learning. Generative artificial intelligence works very well with visual objects, photo-video, sound, text. The above-mentioned properties of generative artificial intelligence make it possible to identify the prospects for its use in the healthcare system primarily for tasks focused on accurate determination by image or by sound recorded because of research, since the neural network simulates the reaction of the human visual and auditory systems better than a human does. When using generative artificial intelligence, when compressing an image or sound, distortion can be minimized by reducing the amount of data needed to compress uploaded files, and to control the quality and error–free learning of a neural network, it is necessary to focus on three main parameters used to measure learning in the field of image processing and sound files - accuracy, sensitivity and specificity.

Keywords:generative artificial intelligence; healthcare; artificial neural networks; training of artificial neural networks; convolutional layers, confusion matrix