Morgellons Disease as a Multisystem Problem: Analysis of Hypotheses, Scientific Evidence, How Artificial Intelligence Helps

Morgellons disease is a rare and controversial disease. It combines dermatological, infectious, and psychiatric manifestations. It is characterized by the formation of skin lesions with filaments emanating from the tissues. Also, by sensory phenomena in the form of a crawling or stinging sensation under the skin. As well as systemic symptoms, including chronic fatigue and cognitive disorders. The article analyzes the literature and clinical reports that highlight the infectious and psychiatric hypotheses, morphological and biochemical features, sociocultural factors, and problems of diagnosis and treatment. It is established that Morgellons disease remains uncertain in the nosological classification, which complicates the creation of unified approaches to its management. At the same time, the need for a multidisciplinary, multisystemic approach that integrates dermatology, infectious diseases, biochemistry, microbiology, clinical diagnostics, immunology, psychiatry, and psychology is emphasized. The conclusion is made about the urgent need for conducting systematic studies of etiology and pathogenesis, developing standardized diagnostic criteria and therapeutic protocols, as well as overcoming the stigmatization of patients. The help of artificial intelligence opens new opportunities for early diagnosis of Morgellons disease through the analysis of large arrays of clinical and laboratory data, recognition of dermatological images and prediction of the course of the disease. The use of machine learning algorithms contributes to more accurate differential diagnosis between infectious, dermatological, and psychiatric manifestations, which helps to minimize false diagnoses. The use of artificial intelligence in telemedicine and clinical practice of Morgellons disease allows for a personalized approach to treatment, optimizing the choice of therapeutic strategies and monitoring the effectiveness of treatment. The integration of artificial intelligence technologies into research and clinical practice is considered a promising direction for overcoming diagnostic and therapeutic difficulties in Morgellons disease.