On the Possibility of Using Artificial Intelligence in Medicine: From Theory to Practice

Modern life is inextricably linked with the latest technologies. Artificial intelligence (AI) poses a new challenge to humanity, the application of which affects all areas of life, including medicine. This article examines the potential application of AI in medical practice, particularly in ophthalmology. It presents an example of how AI can be used to determine risk factors for dry eye syndrome in patients undergoing cosmetic procedures in the periorbital area. It also analyzes the limitations of AI in medicine. An analysis of the literature demonstrates that the use of AI in scientific and medical practice has opened up a wide range of opportunities for conducting research at a new technological level, such as screening examinations, image-based diagnostics, and disease prediction; selection of optimal drug dosages; mitigating the threat of pandemics; and automation and precision of surgical interventions. When integrating AI technologies into medical practice, it’s important to consider a wide range of ethical issues, including potential breaches of confidentiality, transparency, and the reliability of information received. Frequent use of chatbots can lead to errors and the dequalification of physicians, especially those with limited clinical experience, as well as disruption of doctor-patient communication. Furthermore, it’s important to consider legal and forensic issues, primarily the question of who will bear responsibility for making decisions. Given the above, in our view, a personalized approach to treating each individual patient remains a priority in everyday clinical practice. This approach takes into account not only objective indicators but also anamnestic data, the body’s individual responses to treatment, and psycho-emotional aspects, as well as the physician’s fundamental knowledge and experience.