Publications by authors named "C Musat"
Article Synopsis
- This review analyzes how artificial intelligence (AI) is transforming the prediction and prevention of sports injuries through machine learning (ML) and deep learning (DL) techniques, highlighting its capability to analyze complex data and improve injury prevention strategies for athletes.
- It emphasizes the use of various AI models, such as random forests and convolutional neural networks, to create tailored injury risk assessments based on real-time data and individual athlete profiles.
- The review also discusses challenges like data quality, ethical concerns, and the complexities of integrating data in team sports, while showcasing AI's potential to shift injury management from reactive to proactive methods, enhancing athlete safety and performance.
The application of artificial intelligence (AI) in electrocardiography is revolutionizing cardiology and providing essential insights into the consequences of the COVID-19 pandemic. This comprehensive review explores AI-enhanced ECG (AI-ECG) applications in risk prediction and diagnosis of heart diseases, with a dedicated chapter on COVID-19-related complications. Introductory concepts on AI and machine learning (ML) are explained to provide a foundational understanding for those seeking knowledge, supported by examples from the literature and current practices.
View Article and Find Full Text PDFCardiovascular diseases (CVDs) are the leading cause of premature death and disability globally, leading to significant increases in healthcare costs and economic strains. Artificial intelligence (AI) is emerging as a crucial technology in this context, promising to have a significant impact on the management of CVDs. A wide range of methods can be used to develop effective models for medical applications, encompassing everything from predicting and diagnosing diseases to determining the most suitable treatment for individual patients.
View Article and Find Full Text PDFThe Association of Telangiectasias with Other Peripheral Vascular Lesions of Systemic Sclerosis.
Clin Cosmet Investig Dermatol
January 2024
Purpose: Systemic sclerosis (SSc) is a relatively rare collagenosis manifested as microvasculopathy, excessive cutaneous and visceral fibrosis in a background of autoimmune alteration. Autoimmune vasculopathy in SSc occurs early and begins with endothelial cell activation followed by blood vessel intimal proliferation in a context of defective angiogenesis. The alteration of peripheral micro and macrocirculation in SSc is evident through vascular lesions, such as Raynaud's phenomenon, telangiectasias, acrocyanosis, digital ulcers, gangrene, peripheral pulse deficiency.
View Article and Find Full Text PDFPurpose: The identification of sports and physical exercises with injury risk is necessary to preserve the capacity of athletes and people who perform physical education and also to prevent the installation of functional deficiencies.
Methods: We have selected the articles related to the pathogenic mechanisms involved in musculotendinous and fascial injuries produced as a result of physical exercise.
Results And Discussions: The lesional pathogenesis is complex and incompletely clarified.