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UltraSight Expands Access to Cardiac Monitoring with AI

DAIC

We are thrilled to receive support from BMS on this study with the goal of evaluating how this technology could help patients in need of consistent and reliable cardiac follow-up. UltraSights Real-Time Guidance software provides real-time assistance for healthcare providers, guiding them to acquire diagnostic-quality echocardiography images.

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Best Cardiology Practice Management Software

GEMMS

From delivering exceptional patient care and precise diagnostics to managing complex billing and administrative tasks, the importance of efficient systems cannot be overstated. These features are pivotal in ensuring accurate diagnoses, streamlined workflows, and improved patient outcomes.

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Study Finds AI Can Help Predict Patients With High Risk of Major Adverse Cardiac Events

DAIC

Notably, the AI identified at-risk patients who had unremarkable results from traditional diagnostic tools, such as echocardiograms. This highlights the technology's ability to detect hidden risk factors, offering healthcare providers a powerful tool for early intervention and improved patient outcomes," said Prof.

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Top 10 Cardiac Diagnosis Trends in 2024

GEMMS

These advancements, alongside software enhancements, enable early detection of cardiac diseases, empowering healthcare providers to make evidence-based decisions and tailor appropriate patient care plans. GEMMSOne seamlessly integrates with different medical devices.

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How AI and Machine Learning are Transforming Cardiology Practice Management

GEMMS

These technologies are reshaping how cardiology practices manage operations, deliver care, and enhance patient outcomes. This blog explores the profound benefits of AI and machine learning, which are revolutionizing cardiology practices, enhancing efficiency, and ultimately improving patient care.

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SPONSORED CONTENT: Unveiling the Future of Cardiovascular Workflow

DAIC

Not only does this result in a cumbersome and inefficient workflow, as cardiologists must bounce between systems and locations to retrieve and compare relevant prior and current multi-modality information, it can also result in critical information gaps that have a direct, negative impact on patient care and outcomes.

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Italy’s Pioneering Push for Telemedicine. Supported by AI

Cardiomatics

For instance, the average waiting time for an echocardiogram at Turin’s Molinette Hospital was 31 days in 2016 and an even longer 53 days for a Holter ECG. These delays often led patients to seek faster albeit more expensive services in the private sector.