✓ checked
trust me, bro:
here is the receipt.
the claim
Smartwatches can detect atrial fibrillation using optical heart-rate sensors.
the verdict
SUPPORTED
the evidence backs this
Recorded sources
10 sources for · 0 against
Is it true that Smartwatches can detect atrial fibrillation using optical heart-rate sensors?
Yes. Multiple peer-reviewed studies and meta-analyses, including the WATCH AF trial and a 2025 meta-analysis, report that smartwatches using photoplethysmography (PPG) optical sensors detect atrial fibrillation with high sensitivity and specificity, and FDA-cleared PPG algorithms exist.
Verdict: SUPPORTED · 10 sources for, 0 against · Last checked
Evidence for · 10
Get citation
The WATCH AF Trial: SmartWATCHes for Detection of Atrial Fibrillation. (2019). doi.org. https://doi.org/10.1016/j.jacep.2018.10.006
See more details
More for · 9
Get citation
Artificial intelligence-enabled atrial fibrillation detection using smartwatches: current status and future perspectives. (2024). doi.org. https://doi.org/10.3389/fcvm.2024.1432876
Get citation
Accuracy of Smartwatches in the Detection of Atrial Fibrillation: A Systematic Review and Diagnostic Meta-Analysis - PMC Lock. (n.d.). pmc.ncbi.nlm.nih.gov. https://doi.org/10.1016/j.jacadv.2025.102133
Get citation
O, S., CM, H., A, O., H, G., J, M., & MM, C. (2025). Diagnostic accuracy of ECG smart chest patches versus PPG smartwatches for atrial fibrillation detection: a systematic review and meta-analysis.. doi.org. https://doi.org/10.1186/s12872-025-04582-2
Get citation
Ramesh, J., Solatidehkordi, Z., Aburukba, R., & Sagahyroon, A. (2021). Atrial Fibrillation Classification with Smart Wearables Using Short-Term Heart Rate Variability and Deep Convolutional Neural Networks. doi.org. https://doi.org/10.3390/s21217233
Get citation
Prasitlumkum, N., Cheungpasitporn, W., Chokesuwattanaskul, A., Thangjui, S., Thongprayoon, C., Bathini, T., Vallabhajosyula, S., Kanitsoraphan, C., Leesutipornchai, T., & Chokesuwattanaskul, R. (2021). Diagnostic accuracy of smart gadgets/wearable devices in detecting atrial fibrillation: A systematic review and meta-analysis.. doi.org. https://doi.org/10.1016/j.acvd.2020.05.015
Get citation
PhD, K. A., BA, D. Y., MD, Y. K., PhD, S. C., MD, D. B., & BS, J. L. (2020). Atrial fibrillation detection from raw photoplethysmography waveforms: A deep learning applicationKey Findings. doi.org. https://doi.org/10.1016/j.hroo.2020.02.002
Get citation
Cinotti, E., Gragnaniello, M., Parlato, S., Centracchio, J., Andreozzi, E., & Bifulco, P. (2025). An Edge AI Approach for Low-Power, Real-Time Atrial Fibrillation Detection on Wearable Devices Based on Heartbeat Intervals. doi.org. https://doi.org/10.3390/s25237244
Get citation
DD, J., K, S., AT, S., KSK, S., S, P., S, G., J, N., R, K., BHM, C., N, G., P, Y., J, Y., F, F., J, L., MN, S., DSB, S., G, Y., P, E., T, N., & J, J. (2026). Artificial Intelligence Enabled Diagnostics Using Photoplethysmography (PPG): Beyond SpO<sub>2</sub> and Heart Rate.. doi.org. https://doi.org/10.3390/life16091530
Get citation
Velraeds, A., Strik, M., Zande, J. v. d., Fontagne, L., Haissaguerre, M., & Ploux, S. (2023). Improving Automatic Smartwatch Electrocardiogram Diagnosis of Atrial Fibrillation by Identifying Regularity within Irregularity. doi.org. https://doi.org/10.3390/s23229283
Receipt History
Anyone with this link can read the claim and its public receipt, including any
personal information in that text. Open permanent receipt.
Check your own claim
Challenge the receipt
Requests are recorded for review. This does not start an automatic check
or guarantee a response time.
Citation formatting by citeproc-js (Frank Bennett) and the Citation Style Language project. Source and licenses.
This receipt is an automated verdict against our published method · not an opinion about any author or publication.
Terms · Privacy · How verdicts work
Terms · Privacy · How verdicts work