Paperdoi:10.1038/s41586-026-11336-3

Opportunistically Detecting Signs of Hypertension on a Consumer Smartwatch (AI-PPG-ACC-HTN; Di Achille, Poh et al., Nature 2026)

Venue listed2026Added Nov 5, 2026

  • PA
  • LC
  • JW
  • MG
  • BD
  • JW
  • UK
  • HK
  • +8

Authors: Paolo Di Achille, Lawrence Cai, Jiang Wu, Mingwu Gao, Bhavna Daryani, Jonathan Wang, Utkarsh Khanna, Ho Ko, Anupam Pathak, Mark Malhotra,

+6 moreShwetak Patel, Jacqueline B. Shreibati, Stephen P. Juraschek, Pramod Rudrapatna, Matthew Thompson, Ming-Zher Poh (corr.) — Google Research + Beth Israel Deaconess / Harvard

Nature, 2026-11-05

TL;DR

Google Research reframes cuffless BP as multi-day hypertensive-state screening, not beat-to-beat mmHg. AI-PPG-ACC-HTN encodes 15 s wrist PPG + ACC magnitude with a self-supervised EfficientNet-B1 Waveform Encoder (~5.1 M params, 256-d embeddings), mean-aggregates embeddings over ~7 days of wear (hour-of-day then person-level), concatenates z-scored height, and runs L2-regularized logistic regression. No cuff calibration.

  • Form factor: wrist
Caveats
  • Closed weights; Nature 2026 / medRxiv; green+ACC per SI.
  • Closed.

Results on ChatPPG leaderboards · 2

All leaderboards
LeaderboardMethodResultRank
google-pixel-watch3-htn-abpm-196 sensitivityCuffless blood pressure estimationAI-PPG-ACC-HTNCaveat: Closed weights; Nature 2026 / medRxiv; green+ACC per SI.0.658sensitivity, higher is better#1 of 1
GOOGLE-PIXEL-WATCH3-HTN-ABPM-CONFIRM-48 sensitivityCuffless blood pressure estimationAI-PPG-ACC-HTNCaveat: Closed.0.784sensitivity, higher is better#1 of 1

2 rows are credited to this paper. Ranks apply within each leaderboard only, as reported by the source.

Tasks & signals

Signals

Keywords

Cuffless BPHypertension ClassHypertension ScreeningFoundation ModelSelf SupervisedPPG AccGoogleAbpm

Models

How it works

How AI-PPG-ACC-HTN (Google Waveform Encoder + HTN probe) works: Setup → Method → TargetSetup: Signals (PPG, accelerometer); Form factor (wrist). Method: AI-PPG-ACC-HTN (Google Waveform Encoder + HTN probe). Target: Blood pressure.SetupSignals: PPG, accelerometerSignalsPPG, accelerometerForm factor: wristForm factorwristMethodAI-PPG-ACC-HTN (Google…TargetBlood pressureBlood pressure

Cite this paper

Cite this paper with the fields recorded here. Check it against the publisher before submitting.

Di Achille, P., Cai, L., Wu, J., Gao, M., Daryani, B., Wang, J., Khanna, U., Ko, H., Pathak, A., Malhotra, M., Patel, S., Shreibati, J. B., Juraschek, S. P., Rudrapatna, P., Thompson, M., & Poh, M.-Z. (2026). Opportunistically Detecting Signs of Hypertension on a Consumer Smartwatch (AI-PPG-ACC-HTN; Di Achille, Poh et al., Nature 2026). Nature. https://doi.org/10.1038/s41586-026-11336-3
Di Achille, Paolo, Lawrence Cai, Jiang Wu, Mingwu Gao, Bhavna Daryani, Jonathan Wang, and Utkarsh Khanna, et al. 2026. "Opportunistically Detecting Signs of Hypertension on a Consumer Smartwatch (AI-PPG-ACC-HTN; Di Achille, Poh et al., Nature 2026)." Nature. https://doi.org/10.1038/s41586-026-11336-3.
Di Achille, P., Cai, L., Wu, J., Gao, M., Daryani, B., Wang, J. and Khanna, U. et al. (2026) 'Opportunistically Detecting Signs of Hypertension on a Consumer Smartwatch (AI-PPG-ACC-HTN; Di Achille, Poh et al., Nature 2026)', Nature. doi: 10.1038/s41586-026-11336-3.
Di Achille, Paolo, et al. "Opportunistically Detecting Signs of Hypertension on a Consumer Smartwatch (AI-PPG-ACC-HTN; Di Achille, Poh et al., Nature 2026)." Nature, 2026. https://doi.org/10.1038/s41586-026-11336-3.
P. Di Achille et al., "Opportunistically Detecting Signs of Hypertension on a Consumer Smartwatch (AI-PPG-ACC-HTN; Di Achille, Poh et al., Nature 2026)," Nature, 2026, doi: 10.1038/s41586-026-11336-3.
@article{achille2026opportunistically,
  title         = {{Opportunistically Detecting Signs of Hypertension on a Consumer Smartwatch (AI-PPG-ACC-HTN; Di Achille, Poh et al., Nature 2026)}},
  author        = {Di Achille, Paolo and Cai, Lawrence and Wu, Jiang and Gao, Mingwu and Daryani, Bhavna and Wang, Jonathan and Khanna, Utkarsh and Ko, Ho and Pathak, Anupam and Malhotra, Mark and Patel, Shwetak and Shreibati, Jacqueline B. and Juraschek, Stephen P. and Rudrapatna, Pramod and Thompson, Matthew and Poh, Ming-Zher},
  year          = {2026},
  journal       = {Nature},
  doi           = {10.1038/s41586-026-11336-3}
}

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