RESUMO
Artificial Intelligence (AI) is redefining electrocardiogram (ECG) analysis in pre-participation examination (PPE) of athletes, enhancing the detection and monitoring of cardiovascular health. Cardiovascular concerns, including sudden cardiac death, pose significant risks during sports activities. Traditional ECG, essential yet limited, often fails to distinguish between benign cardiac adaptations and serious conditions. This narrative review investigates the application of machine learning (ML) and deep learning (DL) in ECG interpretation, aiming to improve the detection of arrhythmias, channelopathies, and hypertrophic cardiomyopathies. A literature review over the past decade, sourcing from PubMed and Google Scholar, highlights the growing adoption of AI in sports medicine for its precision and predictive capabilities. AI algorithms excel at identifying complex cardiac patterns, potentially overlooked by traditional methods, and are increasingly integrated into wearable technologies for continuous monitoring. Overall, by offering a comprehensive overview of current innovations and outlining future advancements, this review supports sports medicine professionals in merging traditional screening methods with state-of-the-art AI technologies. This approach aims to enhance diagnostic accuracy and efficiency in athlete care, promoting early detection and more effective monitoring through AI-enhanced ECG analysis within athlete PPEs.
RESUMO
BACKGROUND/AIM: Thymic lipofibroadenoma is a benign growth of unknown etiology extremely rarely described in the literature, morphologically resembling lipofibroadenoma of the breast. The diagnosis is usually a postoperative surprise and is made by the anatomopathologist. Surgical resection is curative. CASE REPORT: The presented case is the first reported in a woman, to date. The patient was successfully submitted to surgery and complete resection of the giant intrathoracic tumor was performed. The histopathological and immunohistochemical studies came to demonstrated the presence of a thymic lipofibroadenoma while the postoperative outcomes were favorable. CONCLUSION: In cases presenting large intrathoracic tumors complete resection is able to provide a significant improvement of the general condition of the patient, as well as a chance for cure.