January 1, 2012Scandinavian Journal of Trauma Resuscitation and Emergency MedicineOpen Access

An artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation myocardial infarction

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Key result

The artificial neural network predicted STEMI and acute PCI needs in ambulance ECGs, potentially reducing transmissions to the CCU by nearly two thirds.

Authors

JFJakob Lundager Forberg AKArdavan Khoshnood MGMichael Green

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Key Points

Key points are not available for this paper at this time.

Cite This Study

Forberg et al. (2012) studied this question. The artificial neural network predicted STEMI and acute PCI needs in ambulance ECGs, potentially reducing transmissions to the CCU by nearly two thirds.

synapsesocial.com/papers/698375b107ce701b41b39d2f https://doi.org/10.1186/1757-7241-20-8

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January 1, 2012Scandinavian Journal of Trauma Resuscitation and Emergency MedicineOpen Access

An artificial neural network to safely reduce the number of ambulance ECGs transmitted for physician assessment in a system with prehospital detection of ST elevation myocardial infarction

View Full Paper

Ask AI

Bookmark

Key result

The artificial neural network predicted STEMI and acute PCI needs in ambulance ECGs, potentially reducing transmissions to the CCU by nearly two thirds.

Authors

JFJakob Lundager Forberg AKArdavan Khoshnood MGMichael Green

Discussion

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Forberg et al. (2012) studied this question. The artificial neural network predicted STEMI and acute PCI needs in ambulance ECGs, potentially reducing transmissions to the CCU by nearly two thirds.

synapsesocial.com/papers/698375b107ce701b41b39d2f https://doi.org/10.1186/1757-7241-20-8

View Full Paper

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