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Landmark Clinical Study in The Lancet Finds New AI Technology Can Predict Cardiac Events Due to Coronary Inflammation at Least 10 Years in Advance

DAIC

Caristo Diagnostics Limited has announced the results of a landmark clinical study published in The Lancet that support the ability of Caristo's CaRi-Heart AI technology to quantify coronary artery inflammation and accurately predict cardiac events. Coronary inflammation is a crucial piece of the puzzle in predicting heart attack risk.

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AI Measures Fat Around the Heart, a Key to Predicting Heart Attacks

DAIC

Using multiple, serial, intravascular scaffolds, the patented FlexStep Technology combines flexibility with support to open clogged vessels and sustain healthy blood flow while accommodating tortuosity and skeletal movement. Given this dismal outcome, the prognosis of CLTI is worse than most cancers.3,4 J Am Heart Assoc.

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Bridging the Gap: Enhancing Stroke Recovery Through Digital Health Solutions

DAIC

To improve outcomes and be in compliance with new regulations, it's crucial to better identify and address these issues during the recovery period. I had had a heart attack previously. Technology tools are becoming more sophisticated, bidirectional and disease-specific, and are being designed with home care in mind.

Stroke 115
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Study Finds AI Can Help Predict Patients With High Risk of Major Adverse Cardiac Events

DAIC

2, 2024 — Eko Health recently announced a new independent study from researchers at Imperial College London (Imperial) that demonstrated how AI can identify patients with significantly higher risk of experiencing major adverse cardiac events (MACE), including heart attacks and heart failure. Nicholas S.

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How AI and Machine Learning are Transforming Cardiology Practice Management

GEMMS

These technologies are not just reshaping but also empowering how cardiology practices manage operations, deliver care, and enhance patient outcomes. These technologies are reshaping how cardiology practices manage operations, deliver care, and enhance patient outcomes.

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Image Analysis Software for Cardiovascular Disease Assessment Gets 510(k) FDA Clearance

DAIC

With its basis in histology, the software is uniquely able to non-invasively quantify and characterize non-calcified plaque and its components such as lipid-rich necrotic core (LRNC), giving potential insights into high-risk plaques that are key drivers of risk of heart attack and stroke. Cardiovasc. 6 (3) (2019).

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A Complete Guide to Einthoven’s Triangle & ECG Testing

Wellnest

Medical professionals like cardiologists use EKG to diagnose a wide range of heart conditions, such as arrhythmias, heart attacks, and other abnormalities in the heart’s rhythm and function using Einthoven’s Triangle. It then amplifies the signals and records the ECG on graph paper for analysis by Medical Professionals.