Rol de las nuevas tecnologías basadas en inteligencia artificial en el manejo del dolor del paciente oncológico. Una revisión de alcance

Medicine, along with artificial intelligence, is advancing the diagnosis and treatment of cancer; however, it is unclear how it influences pain management. The purpose of this document was to map the available bibliographic evidence on the role of new technologies based on artificial intelligence in pain management in cancer patients. A scoping review of the PubMed, Scopus, Springer Link, and Science Direct databases was conducted using the PRISMA-ScR methodology. The Johns Hopkins Evidence-Based Practice model was applied to assess the level and quality of evidence. The search yielded 401 articles; only 12 were selected. Five were considered level III and seven were considered good quality. Several uses of artificial intelligence were recognized, especially in pain classification, remote monitoring, telehealth, individualized treatment decision-making, post-treatment anxiety and depression management, education, and psychosocial support. Artificial intelligence tools are accepted by end users, particularly those that improve treatment self-management. There is insufficient evidence to allow for further investigation into the topic; the scarcity of controlled trials makes it difficult to interpret the usefulness of new technologies in this area.