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Saleh, Keenan ORCID: https://orcid.org/0000-0001-9385-9276, Hadadi, Raaif, Liang, Yixiu, Wong, Hong, Sau, Arunashis, Howard, James, Brittain, Evan, Annis, Jeffrey, El-Harasis, Majd, Shun-Shin, Matthew, Mohal, Jagdeep, Naraen, Akriti, Samways, Jack ORCID: https://orcid.org/0000-0001-9090-9610, Artico, Jessica, Ware, James, Kanagaratnam, Prapa, Ng, Fu Siong, Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Bai, Wenjia, Varnava, Amanda, Whinnett, Zachary, Arnold, Ahran ORCID: https://orcid.org/0000-0002-7597-0170 and Berens, Philipp (2026) AI-ECG classification for Brugada syndrome: A study of machine learning techniques to optimise for limited datasets. PLOS Digital Health, 5 (2). e0001222. ISSN 2767-3170

Saleh, Keenan ORCID: https://orcid.org/0000-0001-9385-9276, Hadadi, Raaif, Liang, Yixiu, Wong, Hong, Sau, Arunashis, Howard, James, Brittain, Evan, Annis, Jeffrey, El-Harasis, Majd, Shun-Shin, Matthew, Mohal, Jagdeep, Naraen, Akriti, Samways, Jack ORCID: https://orcid.org/0000-0001-9090-9610, Artico, Jessica, Ware, James, Kanagaratnam, Prapa, Ng, Fu Siong, Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Bai, Wenjia, Varnava, Amanda, Whinnett, Zachary, Arnold, Ahran ORCID: https://orcid.org/0000-0002-7597-0170 and Berens, Philipp (2026) AI-ECG classification for Brugada syndrome: A study of machine learning techniques to optimise for limited datasets. PLOS Digital Health, 5 (2). e0001222. ISSN 2767-3170