O IMPACTO DA INTELIGÊNCIA ARTIFICIAL NO DIAGNÓSTICO E NO MANEJO DAS DOENÇAS NEUROLÓGICAS

Área temática: Tecnologia e Saúde

Abstract

Artificial intelligence (AI) is transforming the healthcare sector, especially in the remote monitoring of patients (MRP) with chronic diseases such as diabetes and cardiovascular problems. Wearable devices, such as smart watches, enable continuous surveillance, more accurate diagnoses and personalized treatments, reducing costs and improving efficiency. The Internet of Medical Things (IoT) expands the collection of biological and environmental data, but faces ethical and regulatory challenges, such as privacy, security and interoperability. This study analyzes the impact of AI on chronic disease management, identifying technologies, benefits and gaps. METHODOLOGY: An integrative literature review was carried out on the PubMed, Scopus and SciELO databases, using the keywords “Artificial Intelligence”, “Chronic Disease” AND “Remote Monitoring”. Articles were included from 2018 to 2025, in English, Portuguese or Spanish, focused on the use of AI in monitoring chronic diseases. Studies without access to the full text or outside the defined time frame were excluded. RESULTS: AI in MRP improves continuous data collection, enabling early diagnoses, such as acute myocardial infarction (90.5% accuracy in ECGs) and atrial fibrillation (84% positive predictive value). Wearables and platforms promote proactive and personalized care. However, challenges include integration with medical records, privacy and algorithmic biases. CONCLUSIONS: AI in MRP revolutionizes chronic disease care, offering precision and personalization. Despite advances, issues such as data security and interoperability persist. Future studies should focus on clinical validation and inclusion to ensure equity and sustainability