Abordagens inovadoras no diagnóstico precoce de doenças cardíacas
DOI:
https://doi.org/10.36557/2674-8169.2024v6n10p3197-3205Keywords:
Early diagnosis, Heart disease, Artificial intelligenceAbstract
Early diagnosis of heart disease is key to improving the prevention and treatment of these conditions. This article presents a critical review of the main innovative approaches in the early diagnosis of heart disease, exploring different emerging technologies and practices. The review followed an integrative methodology, formulating the central question: “What are the innovative approaches in the early diagnosis of heart disease?”. Systematic searches were carried out in databases such as PubMed, Scopus and Scielo, using descriptors related to early diagnosis, heart disease and artificial intelligence. Inclusion criteria were established to select original studies, systematic reviews and research directly linked to the topic. The results of the review reveal a diversity of innovative techniques in the early diagnosis of heart disease, including advanced imaging technologies, portable ultrasound, artificial intelligence, wearable devices and new methods in pharmacology and clinical trials. These approaches, which range from traditional practices to technological innovations, stand out for their potential to detect heart disease at early stages, improving prognosis and clinical management. In summary, the review offers a comprehensive overview of innovations in the early diagnosis of heart disease, covering both traditional methods and cutting-edge technological advances. This panorama contributes to the identification of more effective strategies, which can guide both health professionals and managers in improving preventive and therapeutic care in cardiology.
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Copyright (c) 2024 Bruna Rezende Pereira, Luca Murad Tambellini, Giovanna Fronterotta Giusti de Freitas, Álvaro Augusto Ferreira Garcia , Tiago da Silva Hotta , Valter Zumpano Filho, Carlos Eduardo Sampaio, Eduardo Gomes da Silva Marques , Maruan Adib Nafi Filho , Larissa Boscardin Santoro, Guilherme Fernandes, Andressa de Lima Martins, Victor Hugo Mendes Gomes Oliveira , Mariane Abrão, Rafael Eigenheer, Guilherme Colombo Cespedes, Nathiely Pereira Brito, Fabio Garcia Penha, Diogo de Lima Ramos , Barbara Adamian Zammit, Laís Silva Praxedes, Anna Giullia Pinheiro Caliano

This work is licensed under a Creative Commons Attribution 4.0 International License.
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