Remove Echocardiogram Remove Patient Care Remove Technology
article thumbnail

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.

article thumbnail

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

DAIC

"These findings underscore the power of AI-ECG in identifying patients at a significantly higher risk of MACE and mortality, even when traditional markers like left ventricular ejection fraction appear normal. In our study, patients with a positive AI-ECG result had more than double the risk of MACE and a 65% higher risk of mortality.

article thumbnail

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.

article thumbnail

Top 10 Cardiac Diagnosis Trends in 2024

GEMMS

Advancements in medical technology have revolutionized the diagnosis and treatment of heart diseases, which pose critical chronic conditions that, if left unattended, can have fatal consequences. Startups are developing image analytics solutions using deep learning technologies to improve patient outcomes.

article thumbnail

7 Trends for 2023 Cardiology EHR Software

GEMMS

Cardiology is an evolving field, and staying ahead with the latest technological advancements is paramount in delivering efficient, top-notch care. Embracing and implementing cutting-edge technologies allows cardiologists to provide the highest quality care and stay at the forefront of medical advancements.

article thumbnail

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.

article thumbnail

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.