Performance of an artificial intelligence-powered smartphone application in the UK clinical settings: ECG automation compared to healthcare professionals
PMCardio demonstrated higher diagnostic accuracy than healthcare professionals but required longer interpretation times. Given the small dataset (8 ECGs) and lack of patient context, results should be interpreted cautiously. While AI tools may support clinicians and enhance consistency, they may also introduce uncertainty for less experienced users. Further studies with larger, real-world datasets are needed before widespread adoption.
Authors
- Sandeep Mukherjee (ORCID: https://orcid.org/0000-0002-0280-2037)
- Ahmed Kassem (ORCID: https://orcid.org/0000-0002-6567-5442)
- James A. Rosengarten
- John Folkes
Institutions
- King's College London (GB)
- East Kent Hospitals University NHS Foundation Trust (GB)
Publication Details
- Journal
- The Egyptian Heart Journal
- Published
- 2025-10-16
- DOI
- https://doi.org/10.1186/s43044-025-00689-1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Queen Mary University of London