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Artificial Intelligence-Enabled ECG to Detect Congenitally Corrected Transposition of the Great Arteries.

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Title: Artificial Intelligence-Enabled ECG to Detect Congenitally Corrected Transposition of the Great Arteries.
Authors: Ghelani, Sunil J.1,2 (AUTHOR) sunil.ghelani@cardio.chboston.org, Thatte, Nikhil1 (AUTHOR), La Cava, William3 (AUTHOR), Triedman, John K.1 (AUTHOR), Mayourian, Joshua1 (AUTHOR)
Source: Pediatric Cardiology. Mar2026, Vol. 47 Issue 3, p1376-1382. 7p.
Database: Academic Search Ultimate
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  Data: Artificial Intelligence-Enabled ECG to Detect Congenitally Corrected Transposition of the Great Arteries.
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  Data: <searchLink fieldCode="AR" term="%22Ghelani%2C+Sunil+J%2E%22">Ghelani, Sunil J.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> sunil.ghelani@cardio.chboston.org</i><br /><searchLink fieldCode="AR" term="%22Thatte%2C+Nikhil%22">Thatte, Nikhil</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22La+Cava%2C+William%22">La Cava, William</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Triedman%2C+John+K%2E%22">Triedman, John K.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mayourian%2C+Joshua%22">Mayourian, Joshua</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Pediatric+Cardiology%22">Pediatric Cardiology</searchLink>. Mar2026, Vol. 47 Issue 3, p1376-1382. 7p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191519297
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      – Type: doi
        Value: 10.1007/s00246-025-03916-3
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      – Code: eng
        Text: English
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      – TitleFull: Artificial Intelligence-Enabled ECG to Detect Congenitally Corrected Transposition of the Great Arteries.
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            NameFull: La Cava, William
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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