Rational Rehabilitation of Patients in the Clinic of Head and Neck Tumors Using Modern IT Technologies and Artificial Intelligence

Purpose. Improving the treatment results for patients with laryngeal and laryngopharyngeal cancer by means of comprehensive rehabilitation using modern IT technologies. Materials and methods. Our work is based on observations of 154 patients who were treated for laryngeal and laryngopharyngeal cancer. It is known that with locally advanced cancer of these localizations, most patients cannot be cured conservatively even with the use of modern RT regimens, radiosensitizers. In the early stages of laryngeal cancer, transoral laser resection (TLM) techniques are becoming increasingly widespread. And with locally advanced cancer, laryngectomy – complete removal of the organ – has to be performed as before. Laryngectomy was performed in 126 (80.5%), combined – with pharyngeal resection – 28 (19.5%). The indication for surgery in 135 (86%) patients was laryngeal cancer, in 29 (14%) – laryngopharyngeal cancer. In 53 (33.7%) patients, surgery on the primary lesion was performed simultaneously with surgery on the lymphatic system of the neck. Restoration of voice function is extremely important for patients in terms of rehabilitation, since, losing the ability to speak, a person often loses his job, family, and social status. Results. Restoration of voice function can be carried out in several ways – logopedic, using electrogorge and with the help of voice prostheses. Since 1999, MGOB No. 62 has been using the technique of voice prosthetics (GP) and has accumulated experience in treating more than 200 patients. However, at present we have come to the conclusion that a differentiated approach to the choice of rehabilitation method is required, individualization of indications for each individual patient. We have developed a mathematical model (VOICE-optima) for analyzing the parameters of objective data. It allows you to individualize the indications for choosing the optimal method of speech restoration for each individual patient and decide which is most suitable for him: an esophageal voice, a voice-forming device or a voice prosthesis. The use of the software package makes it possible to predict the success of rehabilitation of patients and optimize indications for a particular method of speech restoration. The proposed technique makes it possible to increase the efficiency of speech function restoration, shorten the rehabilitation period, and significantly improve the social status and quality of life of cancer patients. Conclusion. The use of voice prosthesis (VP) is not possible for all patients. In this regard, it is necessary to create a mathematical model for predicting the successful use of different rehabilitation methods, which would make it possible to specify the indications for them. The use of a software package allows predicting the success of patient rehabilitation and optimizing the indications for a particular speech restoration method. The proposed method makes it possible to increase the effectiveness of speech function restoration, reduce the rehabilitation period, and significantly improve the social status and quality of life of cancer patients. © 2025 Elsevier B.V., All rights reserved.