Contactless Blood Oxygen Saturation Estimation from Facial Videos Using Deep Learning.

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

Who cites it

5 citing papers in PubMed.

1. Towards generalizable contactless oximetry from multispectral video via deep domain-adaptive learning strategy.Biomedical optics express · 2026
   Article
2. Clinical Validation of rPPG-Enabled Contactless Pulse Rate Monitoring Software in Cardiovascular Disease Patients.Bioengineering (Basel, Switzerland) · 2026
   Article
3. Special Issue: "Artificial Intelligence for Biomedical Signal Processing".Bioengineering (Basel, Switzerland) · 2025
   Article
4. Innovative approaches in imaging photoplethysmography for remote blood oxygen monitoring.Scientific reports · 2024
   Article
5. Parameter-Efficient Deep Learning Models for Vital Sign Estimation From PPG.Healthcare technology letters
   Article

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

Authors and funding

7 authors.

Funding

No grant is acknowledged in the PubMed record.

Abstract

Indexed as