A systematic review on the impact of artificial intelligence on electrocardiograms in cardiology

OA Oke, N Cavus - International Journal of Medical Informatics, 2024 - Elsevier
Background Artificial intelligence (AI) has revolutionized numerous industries, enhancing
efficiency, scalability, and insight generation. In cardiology, particularly through …

[HTML][HTML] Artificial Intelligence for Remote Patient Monitoring: Advancements, Applications, and Challenges

M Farrokhi, F Taheri, A Moeini, M Farrokhi, MZS Alireza… - Kindle, 2024 - preferpub.org
Artificial Intelligence (AI) has emerged as a transformative force in the healthcare sector,
particularly in the realm of remote patient monitoring (RPM). RPM involves the collection …

Deep learning-enabled nanophotonic test leveraging poly-L lysine-tethered carbon quantum dots to assess the risk of cardiovascular disease

V Gurjar, N Nazeer, A Bhargava, N Soni, P Kaur… - Microchemical …, 2024 - Elsevier
The circulating cell-free mitochondrial DNA (ccf-mtDNA), in conjunction with circulating
exosomes and NT-proBNP, represents a collective set of biomarkers crucial for the early …

[PDF][PDF] Saeedeh Shirdel

MH Madani, F Pourali, YA Vostacolaee, SM Nasiri… - researchgate.net
Chronic kidney disease (CKD) and other renal diseases represent a significant global health
burden, affecting millions of individuals worldwide. Managing these conditions requires …