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Personalized and real time hemodynamic management in critical care using Dynamic Cohort Ensemble Learning (DynaCEL)

Personalized and real time hemodynamic management in critical care using Dynamic Cohort Ensemble Learning (DynaCEL)

July 24, 2025July 24, 2025
Five Strategies for Strengthening Data Security in Healthcare

Five Strategies for Strengthening Data Security in Healthcare

July 24, 2025July 24, 2025
Slingshot AI Launches Ash: The First AI Designed for Therapy

Slingshot AI Launches Ash: The First AI Designed for Therapy

July 24, 2025July 24, 2025
Humana Accelerates Prior Authorization Reforms, Pledges to Cut Requirements and Expedite Approvals

Humana Accelerates Prior Authorization Reforms, Pledges to Cut Requirements and Expedite Approvals

July 24, 2025July 24, 2025
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Tag: AI-ECG risk estimation

AI model uses ECGs to detect females at high risk of heart disease

AI model uses ECGs to detect females at high risk of heart disease

March 10, 2025Digital Health

Researchers at Imperial College Healthcare NHS Trust have created an AI model which can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG).
The team from Imperial College…

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AI tool could predict type 2 diabetes 10 years in advance

AI tool could predict type 2 diabetes 10 years in advance

November 28, 2024November 28, 2024Digital Health

Researchers at Imperial College London and Imperial College Healthcare NHS Trust have developed an AI tool which could identify people at risk of type 2 diabetes up to 10 years before they begin to…

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NHS to trial AI tool that predicts health risks and early death

NHS to trial AI tool that predicts health risks and early death

October 25, 2024October 25, 2024Digital Health

The NHS in England is to trial an AI tool that can predict patients’ risk of developing and worsening heart disease, and their risk of early death, using an electrocardiogram (ECG).
Researchers at Imperial College…

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Like innovation, we see data as telling us how to respond to the future rather than only revealing what has happened in the past. The information, trends and feedback we gather from consumers and patients to clinicians and staff marks the goal post for where we want to go. If the data tells a story, we decide how we can make that story a better one.

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Recent Posts

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    July 24, 2025July 24, 2025Comments Off on Personalized and real time hemodynamic management in critical care using Dynamic Cohort Ensemble Learning (DynaCEL)
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    July 24, 2025July 24, 2025Comments Off on Five Strategies for Strengthening Data Security in Healthcare
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  • Grouping Digital Health Apps Based on Their Quality and User Ratings Using K-Medoids Clustering: Cross-Sectional Study

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