Announcing our $19,8 million Series A round. Read more here.
For medical device companies, Idoven's AI technology reduce the repetitive and manual workload of physicians to interpret ECGs, by augmenting existing, non-AI electrocardiogram software to accurately triage and prioritise patients in need of care. AI-based algorithms integrate with existing clinical workflows and surface insights to evaluate and action.
Physicians spend a million hours each day, just in Europe, on the repetitive task of interpreting ECGs. This is time not spent on direct patient care.
An overstretched health system, exacerbated by the COVID-19 pandemic, has resulted in waiting lists of up to 1-4 months to see a cardiologist in Europe.
Valuable real-world data is being generated at unprecedented speed and scale through wearables and other biosensors. Yet, existing analytical tools cannot keep up.
Idoven delivers AI tools that integrate seamlessly into the clinical workflow to help clinicians triage cardiac events and detect cardiovascular disease earlier.
Surface only clinically relevant insights for care teams to evaluate and action, and reduce false positives and negatives
Get results in “almost real-time” with 30 second ECGs analysed in seconds and 24 hour holters analysed in less than 5 minutes
Seamlessly integrate AI-powered ECG analysis into cardiac monitoring platforms and visualisation tools via API or non-API tools
For medical device companies, Idoven's AI technology reduce the repetitive and manual workload of physicians to interpret ECGs, by augmenting existing, non-AI electrocardiogram software to accurately triage and prioritise patients in need of care. AI-based algorithms integrate with existing clinical workflows and surface insights to evaluate and action.
Physicians spend a million hours each day, just in Europe, on the repetitive task of interpreting ECGs. This is time not spent on direct patient care.
An overstretched health system, exacerbated by the COVID-19 pandemic, has resulted in waiting lists of up to 1-4 months to see a cardiologist in Europe.
Valuable real-world data is being generated at unprecedented speed and scale through wearables and other biosensors. Yet, existing analytical tools cannot keep up.
Idoven delivers AI tools that integrate seamlessly into the clinical workflow to help clinicians triage cardiac events and detect cardiovascular disease earlier.
Surface only clinically relevant insights for care teams to evaluate and action, and reduce false positives and negatives
Get results in “almost real-time” with 30 second ECGs analysed in seconds and 24 hour holters analysed in less than 5 minutes
Seamlessly integrate AI-powered ECG analysis into cardiac monitoring platforms and visualisation tools via API or non-API tools
For medical device companies, Idoven's AI technology reduce the repetitive and manual workload of physicians to interpret ECGs, by augmenting existing, non-AI electrocardiogram software to accurately triage and prioritise patients in need of care. AI-based algorithms integrate with existing clinical workflows and surface insights to evaluate and action.
Physicians spend a million hours each day, just in Europe, on the repetitive task of interpreting ECGs. This is time not spent on direct patient care.
An overstretched health system, exacerbated by the COVID-19 pandemic, has resulted in waiting lists of up to 1-4 months to see a cardiologist in Europe.
Valuable real-world data is being generated at unprecedented speed and scale through wearables and other biosensors. Yet, existing analytical tools cannot keep up.
Idoven delivers AI tools that integrate seamlessly into the clinical workflow to help clinicians triage cardiac events and detect cardiovascular disease earlier.
Surface only clinically relevant insights for care teams to evaluate and action, and reduce false positives and negatives
Get results in “almost real-time” with 30 second ECGs analysed in seconds and 24 hour holters analysed in less than 5 minutes
Seamlessly integrate AI-powered ECG analysis into cardiac monitoring platforms and visualisation tools via API or non-API tools
For medical device companies, Idoven's AI technology reduces the repetitive and manual workload of physicians to interpret ECGs, by augmenting existing, non-AI electrocardiogram software to accurately triage and prioritise patients in need of care. AI-based algorithms integrate with existing clinical workflows and surface insights to evaluate and action.
Physicians spend a million hours each day, just in Europe, on the repetitive task of interpreting ECGs. This is time not spent on direct patient care.
An overstretched health system, exacerbated by the COVID-19 pandemic, has resulted in waiting lists of up to 1-4 months to see a cardiologist in Europe.
Valuable real-world data is being generated at unprecedented speed and scale through wearables and other biosensors. Yet, existing analytical tools cannot keep up.
Idoven delivers AI tools that integrate seamlessly into the clinical workflow to help clinicians triage cardiac events and detect cardiovascular disease earlier.
Surface only clinically relevant insights for care teams to evaluate and action, and reduce false positives and negatives
Get results in “almost real-time” with 30 second ECGs analysed in seconds and 24 hour holters analysed in less than 5 minutes
Seamlessly integrate AI-powered ECG analysis into cardiac monitoring platforms and visualisation tools via API or non-API tools
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