Overview

• Redcliffe Labs' six-month analysis of its AI-powered Face Scan, used by lakhs of individuals, found that nearly 9 in 10 users who followed up with recommended diagnostic testing showed abnormalities in corresponding health parameters.
• The Face Scan identified potential physiological signals including blood pressure variability in 62% of users, elevated stress in 48%, and breathing-rate irregularities in 36%.
• Follow-up diagnostic testing revealed abnormalities across cardiovascular health, inflammation, nutritional status, blood sugar, liver function, and kidney function.
• Lipid and cholesterol-related parameters accounted for 7 of the 10 most frequently deranged health markers, while more than half of those undergoing follow-up testing showed abnormal Vitamin D levels.
• The findings highlight how Redcliffe Labs' AI-powered Face Scan can serve as an early health signal, encouraging a proactive approach to health before symptoms appear.

What Did the Redcliffe Labs Study Find?

Redcliffe Labs analyzed data generated through its AI-powered Face Scan over six months to understand the health signals identified through the assessment and the findings observed when users subsequently underwent recommended diagnostic testing.

The analysis found three prominent signals:

• 62% showed signs of blood pressure variability
• 48% recorded elevated stress
• 36% exhibited breathing-rate irregularities

Among users who completed the recommended follow-up diagnostic testing, nearly 9 out of 10 showed abnormalities in the corresponding diagnostic health parameters, underscoring the importance of follow-up testing for accurate health assessment.

The findings highlight how Redcliffe Labs' AI-powered Face Scan can serve as an early health signal, encouraging users to consider preventive measures and follow-up testing to maintain long-term health.

What Health Areas Did Follow-Up Testing Reveal?

The abnormalities identified through follow-up testing were not limited to one health area. They appeared across several important health parameters.

Cardiovascular Health

Cardiovascular-related markers featured prominently among the findings.

Abnormalities in LDL cholesterol, HDL cholesterol, and triglycerides were frequently observed. Lipid and cholesterol-related markers accounted for 7 of the 10 most frequently deranged parameters identified through follow-up testing.

This matters because several cardiovascular risk factors can develop without obvious symptoms.

A person may feel well while important cardiovascular health markers are already outside the expected range.

Systemic Inflammation

The analysis also identified inflammation-related abnormalities.

More than one in five individuals showed elevated hs-CRP levels, while abnormalities in ESR and other immune-related markers were also observed among users who underwent follow-up testing.

Inflammatory markers need to be interpreted in the context of an individual's overall health and clinical history. However, they can provide doctors with additional information when evaluating potential health concerns.

Nutritional Health

Nutritional deficiencies can often remain unnoticed because their symptoms may be subtle or attributed to everyday fatigue.

The analysis found that more than half of the individuals who underwent follow-up testing had abnormal Vitamin D levels.

The analysis also found other abnormalities related to blood health and nutritional status. This highlights why appropriate diagnostic testing can help assess nutritional health, rather than relying only on symptoms.

Metabolic and Organ Health

Follow-up testing also identified abnormalities in parameters related to:

• Blood sugar
• Liver function
• Kidney function

These parameters can provide important information about metabolic and organ health and may indicate areas that require further medical evaluation.

What Is Redcliffe Labs' AI-Powered Face Scan?

Redcliffe Labs' AI-powered Face Scan is a non-invasive digital health assessment that uses a smartphone camera to capture physiological signals through a short facial scan.  The technology uses remote photoplethysmography (rPPG) and remote ballistocardiography (rBCG) to capture physiological signals and provide insights into parameters such as heart rate, breathing rate, blood pressure, and stress.

The assessment provides an initial health checkpoint and, when it identifies potential irregularities, encourages appropriate further evaluation.

How Does Redcliffe Labs' Face Scan Work?

The Face Scan uses a smartphone camera to capture subtle physiological signals from the face.

AI-based analysis assesses these signals to generate insights across selected health parameters.

The process is designed to be simple and non-invasive:

Scan → AI-powered assessment → Potential health signal → Recommended follow-up → Diagnostic evaluation

The objective is to make the first step towards health assessment easier and more accessible.

Is Redcliffe Labs' Face Scan a Diagnostic Test?

No. This distinction is important.

No. This distinction is important. The Face Scan is a screening and wellness assessment tool, not a medical diagnosis, designed to support early health awareness without causing undue concern.

Instead, it can prompt the question: "Is this something I should investigate further?" That is where diagnostic testing becomes important.

From AI Signal to Diagnostic Insight

The Redcliffe Labs study demonstrates the potential value of connecting digital health assessment with laboratory diagnostics. The journey can be understood simply:

Redcliffe Labs' AI-Powered Face Scan
↓
Potential Health Signal
↓
Recommended Diagnostic Evaluation
↓
Laboratory Findings
↓
Clinical Interpretation
↓
Appropriate Action

The Face Scan can help bring a potential health concern to attention.

Diagnostic testing can then help determine whether an abnormality exists and provide measurable information for further clinical evaluation.

Why Does This Matter for Preventive Healthcare?

Many health concerns can develop silently. Changes in cholesterol, blood sugar, Vitamin D, inflammatory markers, or organ-function parameters may not always produce noticeable symptoms in their early stages.

This can create a gap between feeling healthy and actually knowing your health status. Preventive healthcare aims to close that gap by encouraging people to understand their health before symptoms drive them to seek care. Technology can help by making health assessment more accessible and encouraging people to take the next step when it identifies a potential concern.

What Does the 9 in 10 Finding Actually Mean?

The finding that nearly 9 in 10 users who proceeded with recommended follow-up testing showed abnormalities in corresponding health parameters is an important part of the Redcliffe Labs analysis.

However, it needs context. This does not mean that 9 in 10 people who use Face Scan have a disease. It also does not mean that every Face Scan result will predict an abnormal laboratory result.

The finding refers specifically to the users in the analyzed group who followed up with recommended diagnostic testing, and the abnormalities identified were in corresponding health parameters. The Face Scan should therefore be viewed as an early health assessment signal, with laboratory testing and clinical evaluation providing the next layer of understanding.

What Should You Do If Your Face Scan Flags an Irregularity?

A flagged result is not a diagnosis, and it should not be a reason to panic. Instead, it can be a reason to pay closer attention to your health.

Depending on the health indicator involved, appropriate next steps may include:

• Discussing the result with a healthcare professional
• Taking the recommended laboratory tests
• Reviewing the results alongside your medical history and symptoms
• Following professional advice on further evaluation or care

The important step is appropriate follow-up. A health signal becomes more meaningful when you investigate it through the right diagnostic pathway.

Can AI Replace Doctors or Laboratory Tests?

No. AI-powered health technologies are designed to support healthcare—not replace clinical expertise or diagnostic testing. A Face Scan can help identify potential signals, but a doctor is needed to interpret those findings in the context of an individual's symptoms, history, and overall health.

Similarly, laboratory tests provide objective measurements that can help confirm or investigate a potential health concern. The value lies in bringing these components together:

Technology for awareness.
Diagnostics for evidence.
Doctors for clinical interpretation.

Why Combining AI With Diagnostics Matters

Healthcare has traditionally been more reactive; people seek care when symptoms appear or when they feel unwell. AI's growing role in preventive healthcare creates an opportunity to make the first step easier.

Redcliffe Labs' AI-powered Face Scan can help people become more aware of potential physiological signals. Diagnostic testing can then provide measurable health information. Together, they create a more connected preventive health journey:

Awareness → Assessment → Testing → Understanding → Action

The objective is not simply to identify a potential risk. It is to help people move from "I think I am fine" to "I know more about my health."

What Does This Mean for People Who Feel Healthy?

Feeling healthy matters, but it does not always tell the whole story. Some health parameters can change without producing obvious symptoms.

Cholesterol, blood sugar, Vitamin D, inflammatory markers, and several other laboratory parameters may require testing to understand accurately.

This is why preventive health checks can be valuable even when a person feels well.

The Redcliffe Labs Face Scan adds another potential entry point into that journey by helping users identify areas that may warrant closer attention.

The Bigger Picture: Moving From Reactive to Preventive Healthcare

The larger significance of the Redcliffe Labs study goes beyond one technology.

It reflects a broader shift in healthcare, from waiting for illness to become obvious to identifying potential health concerns earlier. Digital health tools can make initial assessment more convenient.

Laboratory diagnostics can provide objective evidence. Healthcare professionals can then use that information to determine what it means for the individual and what should happen next.

The goal is not to diagnose everything through technology. The goal is to help people know when it may be time to look deeper.

What the Redcliffe Labs Study Tells Us

The six-month analysis of Redcliffe Labs' AI-powered Face Scan offers an important perspective on the relationship between digital health assessment and diagnostic testing.

Among users who proceeded with recommended follow-up investigations, nearly 9 in 10 showed abnormalities in corresponding diagnostic health parameters.

The findings included abnormalities related to cardiovascular health, inflammation, nutritional status, blood sugar, liver function, and kidney function. For Redcliffe Labs, the broader objective is to make preventive healthcare more accessible, technology-enabled, and actionable.

As highlighted in media coverage of the study, the opportunity lies in helping people identify potential health risks earlier and take appropriate action, rather than waiting for symptoms to become apparent.

The Key Takeaway

Redcliffe Labs' AI-powered Face Scan highlights a simple idea: Sometimes, the first step towards understanding your health is knowing what deserves a closer look.

An AI-powered health assessment can help bring potential physiological signals to attention. Diagnostic testing can then help investigate those signals with measurable health parameters.

Face Scan is not a replacement for diagnostic testing or medical advice.

It is a potential starting point for a more proactive health journey, helping people move from awareness to assessment, and from assessment to informed action.

Preventive healthcare is not only about testing early; it is about knowing when it is time to test.

Related Media Coverages

AI-Powered Face Scan Flags Early Health Risks:  FinTech BizNews | June 26, 2026

Coverage of Redcliffe Labs' six-month analysis of Face Scan data and the finding that nearly 9 in 10 users who proceeded with recommended testing showed abnormalities in corresponding health parameters.

Read the FinTech BizNews coverage.