Clinical applicability of artificial intelligence electrocardiogram interpretation in Brugada syndrome: a diagnostic accuracy meta-analysis

Kevin Nathaniel Cuandra, Christopher Daniel Tristan, Indah Kurnia Hutabarat, Vina Sari Nugrahaning Widi, Dwi Nurcahya Ananda Suwarya, Raymond Elbert Budianto, Delinda Ivania Zhavira Wibowo, Siti Faiza Aliya, Ayu Mas Eka Pradnyani, Dhyani Paramita Wahyudi, Muhammad Atha Muafa, Irnizarifka Irnizarifka

Open source

DOI: 10.1080/14796678.2026.2722829
Published: 2026-08-26
Container: Future Cardiology
Publisher: Informa UK Limited
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1080/14796678.2026.2722829,
  title = {Clinical applicability of artificial intelligence electrocardiogram interpretation in Brugada syndrome: a diagnostic accuracy meta-analysis},
  author = {Kevin Nathaniel Cuandra and Christopher Daniel Tristan and Indah Kurnia Hutabarat and Vina Sari Nugrahaning Widi and Dwi Nurcahya Ananda Suwarya and Raymond Elbert Budianto and Delinda Ivania Zhavira Wibowo and Siti Faiza Aliya and Ayu Mas Eka Pradnyani and Dhyani Paramita Wahyudi and Muhammad Atha Muafa and Irnizarifka Irnizarifka},
  year = {2026},
  journal = {Future Cardiology},
  doi = {10.1080/14796678.2026.2722829},
  url = {https://doi.org/10.1080/14796678.2026.2722829}
}

RIS

TY  - JOUR
TI  - Clinical applicability of artificial intelligence electrocardiogram interpretation in Brugada syndrome: a diagnostic accuracy meta-analysis
AU  - Kevin Nathaniel Cuandra
AU  - Christopher Daniel Tristan
AU  - Indah Kurnia Hutabarat
AU  - Vina Sari Nugrahaning Widi
AU  - Dwi Nurcahya Ananda Suwarya
AU  - Raymond Elbert Budianto
AU  - Delinda Ivania Zhavira Wibowo
AU  - Siti Faiza Aliya
AU  - Ayu Mas Eka Pradnyani
AU  - Dhyani Paramita Wahyudi
AU  - Muhammad Atha Muafa
AU  - Irnizarifka Irnizarifka
PY  - 2026
JO  - Future Cardiology
DO  - 10.1080/14796678.2026.2722829
UR  - https://doi.org/10.1080/14796678.2026.2722829
ER  -

APA

Cuandra, K. N., Tristan, C. D., Hutabarat, I. K., Widi, V. S. N., Suwarya, D. N. A., Budianto, R. E., Wibowo, D. I. Z., Aliya, S. F., Pradnyani, A. M. E., Wahyudi, D. P., Muafa, M. A., & Irnizarifka, I. (2026). Clinical applicability of artificial intelligence electrocardiogram interpretation in Brugada syndrome: a diagnostic accuracy meta-analysis. Future Cardiology. https://doi.org/10.1080/14796678.2026.2722829

Source records

crossref · retrieved 2026-09-26T21:54:06.905Z