Intelligence reflects the totality of the cognitive abilities of the human mind, such as consciousness, imagination, perception, thinking, judgment, language, memory, the quintessence of which is the creation of a new one that did not previously exist in nature and society. Recently, the topic of artificial intelligence in medicine has been actively discussed.

The creation of artificial intelligence is an attempt to transfer elements of human intelligence to machines in such a way that they can mimic medical activities and elements of medical thinking. It is assumed that artificial intelligence must also have the ability to make decisions within the framework of hard-coded algorithms. The main task of artificial intelligence in medicine is to help the doctor analyze medical information, monitor and plan a treatment strategy.

An important aspect of artificial intelligence is the ability to learn machines (Machine learning). Machine learning is carried out on the basis of a database of tasks, in order to improve performance (reduce errors) when performing them. Machine learning can be defined as the enhanced ability of computer systems to “learn” from their own experience and therefore have the ability to evolve internally. Machine learning uses a method of analyzing data through self-learning algorithms capable of building new analytical models based on a probability system.

It is important to understand that artificial intelligence and human intelligence are different concepts. No structural, linguistic, or mathematical analogies can be drawn. In fact, the mechanism of work of artificial intelligence is combinatory (the choice of the optimal solution by enumerating possible options in order to obtain a result). Artificial intelligence can only partially replace the physician’s function of evaluating standardized and mathematically presented information. Such concepts as the assessment of subjective complaints, the psychological status of the patient, medical intuition, diagnostic insights, etc., are not available to artificial intelligence.

Who owns health information? Today – definitely, not its source, the sick person. Medical data files are shared between outpatient clinics, hospitals, private consultants, and are often lost and insufficiently analyzed.

New technologies have changed the world of medicine. In trend there are independent measurements, the use of external sensors, monitors, applications and devices. Most of the extremely important self-collected medical information remains unanalyzed, unused and not saved.

The current stage of development of technology can provide a new type of flow of medical information, when the source of medical information and its owner is the same person. The creation of a personal medical database allows individual analysis of all medical data and prevents the loss of medical information. Efficient and safe information flows will be central to effective healthcare decision making.

Computer analysis of a personal database is the key to new standards of medical care. It allows individual prediction of clinical events based on the repeatability of biological processes, detection of external triggers and the use of new diagnostic and treatment criteria.