A Closer Look at Dermatology Imaging: Legit.Health and Quantificare

Introduction​

This document has been crafted to help you understand the fundamental differences between Quantificare and Legit.Health, and to explain why Legit.Health is best suited to serve clinical trials for diseases such as psoriasis, alopecia or hidradenitis suppurativa, among others. While both companies aim to improve the efficiency and reliability of clinical trial imaging, they do so through very different approaches:

• Quantificare focuses on specialised 3D imaging hardware.
• Legit.Health provides an AI-driven software that automates the extraction of clinical endpoints from any standard camera.

It is worth noting that Quantificare and Legit.Health can collaborate in scenarios where studies need both 3D imaging and advanced artificial intelligence. However, this page will show why Legit.Health's operational simplicity, regulatory compliance, and emphasis on automated clinical endpoints make it the clear choice for the upcoming HS trial.

Product overview​

In this section, we'll explore the essence of each company's offerings. Understanding these product portfolios will help demonstrate why Legit.Health's solution aligns better with the demands of a global HS clinical trial.

Quantificare​

Quantificare offers imaging solutions that revolve around their proprietary 3D photography systems. These systems capture volumetric data, which can be highly valuable in certain dermatological or plastic surgery contexts where depth measurements are essential. Below is a brief overview of their main product lines:

3D Photography system​

Quantificare's core solution is a specialised 3D camera system designed to deliver consistent, high-resolution images across multiple angles. This hardware is often accompanied by a range of software tools that enable clinicians or researchers to visualise and measure lesion volumes, surface irregularities, and other three-dimensional aspects.

Clinical trials photography (2D)​

Although their flagship offering revolves around 3D imaging, Quantificare also provides 2D imaging solutions, exemplified by the 2D DermaViz® Series. While these are useful for certain trials, the 2D tools generally lack the sophisticated AI-based automation found in platforms like Legit.Health.

Legit.Health​

By comparison, Legit.Health is predominantly a software-based platform that uses advanced artificial intelligence to automate the detection and measurement of clinical signs. This means:

• No need for specialised hardware; any smartphone or tablet can capture the images.
• A built-in Digital Image Quality Assessment (DIQA) system that ensures images meet the required standard for accurate analysis.
• Seamless cloud-based deployment, meaning sites can be onboarded rapidly, without the logistics of shipping or maintaining imaging hardware.
• Pre-trained algorithms that cover a wide range of clinical signs and scoring systems, drastically reducing manual workloads.

Crucially, Legit.Health has been validated as a medical device, which provides an additional layer of reliability and compliance for clinical use.

Comparison​

The following sections detail how each platform addresses key areas that matter in clinical trials: focus, imaging depth, automation, operational complexity, image standardisation, and certifications.

Main focus​

The starting point in differentiating these two solutions is their primary focus:

• Quantificare: Concentrates on 3D imaging hardware and associated software tools that allow clinicians and researchers to capture and measure three-dimensional features of the skin.
• Legit.Health: Emphasises AI-driven automation of clinical endpoints, enabling large-scale data collection and analysis without specialised cameras.

In essence, Quantificare aims to perfect the capture of volumetric data, whereas Legit.Health focuses on extracting clinical endpoints rapidly and accurately across multiple sites, with minimal technological overhead.

Depth of images​

When depth analysis is essential—e.g., measuring volumetric changes in certain lesions—Quantificare provides a robust solution through its 3D camera system. These specialised cameras capture the contour and volume of the area of interest, which can be beneficial in certain plastic surgery or specific dermatological scenarios.

However, the majority of dermatological endpoints (such as lesion count, erythema, exudation, etc.) can be effectively assessed using 2D images. Legit.Health capitalises on powerful AI algorithms capable of identifying and measuring these clinical signs with just a smartphone image. Since volumetric changes are not typically the primary measure for HS, the added cost and complexity of 3D imaging may not be fully justified for such a trial.

Automation of endpoints​

A major value proposition of Legit.Health is its extensive library of AI-driven clinical sign measurements and automated scoring systems. While Quantificare focuses on imaging hardware, Legit.Health automates the processing and scoring of clinical data that is crucial in dermatology.

Clinical signs measured by Legit.Health​

Legit.Health can automatically detect, measure, or quantify the following clinical signs:

Scoring systems covered by Legit.Health​

Legit.Health also supports a variety of dermatological scoring systems—key for clinical trials that require standardised metrics:

By automating these measurements, Legit.Health not only reduces the operational burden on study coordinators but also minimises human error, ensuring consistent and reproducible results across all trial sites.

Operational struggle​

Running a multinational trial, particularly with a large number of sites, involves significant logistical challenges. Below, we dissect several major operational factors and compare both solutions accordingly.

Complexity of training​

Deploying Quantificare's 3D systems requires thorough training sessions to ensure that site personnel can operate the cameras correctly, maintain calibration, and interpret the software outputs. This increases the complexity of site initiation visits (SIVs), as each site demands hands-on instruction.

Meanwhile, Legit.Health largely requires only a basic introduction to its user-friendly app or web interface. Because the platform is designed for standard smartphone or tablet use, clinical staff typically become proficient after a short, remote training session.

Complexity of installation​

Quantificare's cameras must be physically shipped, installed, and tested at each site. This can be time-consuming, particularly for trials involving sites in multiple countries. Customs clearance, shipping delays, and hardware malfunctions can all introduce bottlenecks.

Legit.Health offers a streamlined approach where everything is done in the cloud. Once a site has the software and a smartphone, there is minimal setup. This saves time, reduces costs, and simplifies the entire deployment process.

Ease of maintenance​

Maintaining Quantificare's hardware involves calibrations, repairs, software updates, and potential hardware replacements if something breaks—challenges that can disrupt the trial timeline.

Because Legit.Health relies solely on standard cameras and centrally maintained cloud services, it has near-zero maintenance overhead. The sponsor or CRO does not need to worry about hardware failures or on-site repairs.

Need for specialised personnel​

Operating a 3D camera system—particularly when calibrating it for accurate volumetric measurements—frequently calls for specialised imaging experts. In contrast, Legit.Health is designed to be used by staff with minimal or no technical background, drastically reducing overheads and the risk of user error.

Ease of deployment​

Overall, Legit.Health can be deployed in a fraction of the time it takes to set up a specialised imaging system. This ensures that sponsors can initiate trials more quickly, especially in time-sensitive contexts.

Image standardisation​

In clinical research, image standardisation is crucial to ensure reliable and reproducible data. While both platforms offer solutions to address this:

• Quantificare utilises its proprietary 3D hardware and software workflows to capture consistent depth maps and volumetric images.
• Legit.Health leverages a Digital Image Quality Assessment (DIQA) system that automatically identifies common image quality issues (e.g., poor lighting, off-angle captures, or blur). By prompting the user for a new photo when quality standards are not met, the system guarantees consistent image quality—no matter which camera is used.

Given that 3D hardware imposes a higher operational burden, Legit.Health's DIQA emerges as a more scalable and cost-effective way to maintain standardisation without locking sites into a specific camera system.

Certifications​

Regulatory approvals and certifications reflect a solution's maturity and trustworthiness in a clinical context. Legit.Health:

• Holds CE marking as a medical device.
• Adheres to strict GDPR and data handling requirements.
• Is specifically validated for clinical practice, backed by peer-reviewed publications.

While Quantificare also holds relevant certifications for its imaging hardware, Legit.Health stands out for being certified as software that actively measures clinical endpoints rather than just capturing images.

Use case: Hidradenitis Suppurativa​

Hidradenitis Suppurativa (HS) is characterised by painful, inflamed lesions often hidden in folds of the skin. Achieving reliable, reproducible measures of lesion severity, erythema, and exudation across multiple sites can be challenging. Legit.Health overcomes these challenges by:

1. Automatically detecting lesions using AI, eliminating the need for manual counts.
2. Measuring severity of important clinical signs like erythema or exudation.
3. Providing instant feedback to ensure images meet the required quality.
4. Enabling immediate scoring of disease progression to reduce data turnaround time and minimise human error.

By contrast, unless 3D volumetric data is explicitly necessary, Quantificare's hardware-based approach may add more complexity and cost than is practical for an HS trial. Should a 3D element become essential, there is always the option of combining the two: employing Quantificare's hardware for depth capture and using Legit.Health's AI software for fast, automated endpoint extraction.

Additional learning materials, such as videos and practical guides, can be found at the documentation.

Publications and validations​

Legit.Health is grounded in rigorous research and ongoing validation. Numerous peer-reviewed studies assess the platform's accuracy, reliability, and real-world performance. For a more detailed look at these publications, visit the Legit.Health validation page.

Conclusion​

Choosing the right technology partner for a clinical trial entails weighing data accuracy, operational complexity, regulatory compliance, and cost-effectiveness. While Quantificare excels at 3D imaging for conditions requiring volumetric assessments, Legit.Health streamlines and automates the majority of dermatological endpoints, particularly those pivotal in Hidradenitis Suppurativa, Alopecia, Acne or Psoriasis, among others. Its user-friendly software approach:

• Reduces logistical hurdles for trial sites,
• Ensures rapid deployment at scale,
• Guarantees regulatory compliance, and
• Eliminates much of the manual labour traditionally involved in clinical data gathering.

Ultimately, Legit.Health emerges as the more efficient, timely, and cost-effective solution for trials targeting dermatological conditions, offering fast and accurate clinical endpoint extraction with minimal training or maintenance required.