What does this research mean for the field?

A contactless AI-based rPPG device provides clinically accurate measurements for respiratory rate and oxygen saturation in dental settings and is highly accepted by patients, but its blood pressure measurement algorithms require substantial refinement before clinical use. Novelty: ClaimNovelty.CONFIRMATORY. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To assess the accuracy, reliability, and patient acceptance of a contactless artificial intelligence device powered by remote photoplethysmography for screening vital signs in a dental setting.

August 23, 2026The Saudi Dental JournalOpen Access

Perception and accuracy of an AI-based contactless wellness screening system in dental setting; a cross-sectional study

View Full Paper

Ask AI

Bookmark

Authors

NMNormaliza Ab Malik AAAbdul Aziz NRNur Faraheen Abdul Rahman

Discussion

Member takes

Overview

Cross-sectional study reveals accurate contactless breathing and oxygen screening in dental patients, suggesting blood pressure algorithms need refinement.

Key Points

To assess the accuracy, reliability, and patient acceptance of a contactless artificial intelligence device powered by remote photoplethysmography for screening vital signs in a dental setting.
Cross-sectional validation study conducted with 499 dental patients comparing a contactless AI-based rPPG screening device against automated and manual reference methods.
Assessed measurement agreement using Bland-Altman analysis and evaluated patient perceptions through a 5-point Likert scale survey.
Contactless AI measurements showed no significant difference compared to automated or manual standards for respiratory rate and oxygen saturation (p > 0.05).
Significant differences were observed for heart rate, systolic blood pressure, and diastolic blood pressure compared to automated devices (p < 0.05), with wide Bland-Altman limits of agreement (±30 mmHg for SBP, ±20 mmHg for DBP).
Survey respondents reported high acceptance and positive perception of the AI screening device, with all domain mean scores exceeding 4.0 out of 5.0.

Cite This Study

Malik et al. (2026) studied this question.

synapsesocial.com/papers/6a8aad977677a34114445c10 https://doi.org/10.1007/s44445-026-00222-3

View Full Paper

Ask AI

Bookmark

August 23, 2026The Saudi Dental JournalOpen Access

Perception and accuracy of an AI-based contactless wellness screening system in dental setting; a cross-sectional study

View Full Paper

Ask AI

Bookmark

Authors

NMNormaliza Ab Malik AAAbdul Aziz NRNur Faraheen Abdul Rahman

Discussion

Member takes

Overview

Cross-sectional study reveals accurate contactless breathing and oxygen screening in dental patients, suggesting blood pressure algorithms need refinement.

Key Points

To assess the accuracy, reliability, and patient acceptance of a contactless artificial intelligence device powered by remote photoplethysmography for screening vital signs in a dental setting.
Cross-sectional validation study conducted with 499 dental patients comparing a contactless AI-based rPPG screening device against automated and manual reference methods.
Assessed measurement agreement using Bland-Altman analysis and evaluated patient perceptions through a 5-point Likert scale survey.
Contactless AI measurements showed no significant difference compared to automated or manual standards for respiratory rate and oxygen saturation (p > 0.05).
Significant differences were observed for heart rate, systolic blood pressure, and diastolic blood pressure compared to automated devices (p < 0.05), with wide Bland-Altman limits of agreement (±30 mmHg for SBP, ±20 mmHg for DBP).
Survey respondents reported high acceptance and positive perception of the AI screening device, with all domain mean scores exceeding 4.0 out of 5.0.

Cite This Study

Malik et al. (2026) studied this question.

synapsesocial.com/papers/6a8aad977677a34114445c10 https://doi.org/10.1007/s44445-026-00222-3

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark