Exercise Testing and Artificial Intelligence as Allies in Improving the Detection and Diagnosis of Long QT Syndrome

Audrey Harvey; Daniel Curnier; Maxime Caru

doi:10.1016/j.mcpdig.2024.01.011

Exercise Testing and Artificial Intelligence as Allies in Improving the Detection and Diagnosis of Long QT Syndrome

Audrey Harvey, Daniel Curnier, Maxime Caru

Research output: Contribution to journal › Letter › peer-review

Original language	English (US)
Pages (from-to)	175-176
Number of pages	2
Journal	Mayo Clinic Proceedings: Digital Health
Volume	2
Issue number	1
DOIs	https://doi.org/10.1016/j.mcpdig.2024.01.011
State	Published - Mar 2024

All Science Journal Classification (ASJC) codes

Health Informatics
Internal Medicine
Dentistry (miscellaneous)

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10.1016/j.mcpdig.2024.01.011

Cite this

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title = "Exercise Testing and Artificial Intelligence as Allies in Improving the Detection and Diagnosis of Long QT Syndrome",

author = "Audrey Harvey and Daniel Curnier and Maxime Caru",

year = "2024",

month = mar,

doi = "10.1016/j.mcpdig.2024.01.011",

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journal = "Mayo Clinic Proceedings: Digital Health",

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AU - Curnier, Daniel

AU - Caru, Maxime

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JO - Mayo Clinic Proceedings: Digital Health

JF - Mayo Clinic Proceedings: Digital Health

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Exercise Testing and Artificial Intelligence as Allies in Improving the Detection and Diagnosis of Long QT Syndrome

All Science Journal Classification (ASJC) codes

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