Funding Secured for National AI Training Program in Echocardiology
Funding secured for a national AI training program in echocardiology. Research starts January 2025. 🫀📊
January 23, 2025
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Discover the newest research about AI innovations in 🫀 Cardiology.
Enhanced Conditional GAN for High-Quality Synthetic Tabular Data Generation in Mobile-Based Cardiovascular Healthcare.
Exploring synthetic data generation in cardiovascular healthcare 🫀. Enhanced GAN architecture shows promise for privacy and accuracy. 📊
December 18, 2024
China’s Virtual Hospital Project Set for Public Launch in 2025
China’s virtual hospital project aims for a public launch in 2025, utilizing AI for healthcare simulations. 🏥🤖
December 10, 2024
Screening for severe coronary stenosis in patients with apparently normal electrocardiograms based on deep learning.
Deep learning models show promise in detecting severe coronary stenosis in patients with normal ECGs. 🫀📊
November 23, 2024
An efficient cardiovascular disease prediction model through AI-driven IoT technology.
AI-driven IoT technology enhances cardiovascular disease prediction. 📈 Our review highlights a novel algorithm achieving 95.37% accuracy. 💡
November 11, 2024
NHS Launches Groundbreaking AI Tool to Assess Heart Disease Risks
NHS trials AI tool to assess heart disease risks using ECGs. Promising results could enhance patient care and outcomes. ❤️🩺
October 25, 2024
Exploring the diagnostic and immune infiltration roles of disulfidptosis related genes in pulmonary hypertension.
Recent research highlights disulfidptosis-related genes in pulmonary hypertension. Key findings reveal diagnostic potential and therapeutic avenues. 🩺🔬
October 11, 2024
Evolving capabilities of computed tomography imaging for transcatheter valvular heart interventions – new opportunities for precision medicine.
Recent advancements in MDCT enhance precision in heart valve interventions. 🫀 This review highlights innovative imaging techniques for improved patient care. 📈
September 30, 2024
Enhancing reginal wall abnormality detection accuracy: Integrating machine learning, optical flow algorithms, and temporal convolutional networks in multi-view echocardiography.
Recent research enhances RWMA detection using machine learning and multi-view echocardiography. Promising results for early MI diagnosis! 🫀📊
September 13, 2024