Is YouTube a Reliable Source for 3D Face Scanning Application in Orthodontics? A Cross- Sectional Assessment of the Quality, Reliability, and Educational Value of Videos

In the modern orthodontic clinic, the focus has shifted beyond simply straightening teeth to shaping the entire face. Patients increasingly care about how their smile changes their overall appearance, prompting doctors to track facial growth and soft tissue changes with great precision. For decades, capturing these details required expensive, specialized machines that could only be used in a hospital or office. However, a new wave of technology has arrived: smartphone applications that allow anyone to create a three-dimensional map of their own face. These tools promise to bring high-tech scanning into the home, enabling patients to take their own measurements or allowing staff to gather data without direct supervision. But this convenience comes with a hidden risk. A scan taken in poor lighting, with the phone held at the wrong angle, or without understanding the limitations of the software, can produce a picture that looks perfect but contains inaccurate data. If a doctor relies on such flawed information to plan treatment, the results could be compromised.

As these digital tools become common, many people turn to the internet for guidance on how to use them correctly. YouTube, the world's second-largest website, has become a primary destination for this information, where users spend nearly twenty minutes per visit seeking answers. For a procedure as technical as facial scanning, where the difference between a useful record and a useless one often lies in subtle details like background lighting or camera distance, the quality of online instruction is critical. Yet, the platform operates without a system of editorial oversight or peer review, meaning anyone can upload a video, regardless of their expertise. This creates a landscape where a polished, professional-looking video might offer dangerous advice, while a rougher, less popular video might hold the only accurate instructions.

Researchers from Uşak University in Turkey set out to map this digital landscape, specifically looking at videos that teach how to perform three-dimensional facial scans for orthodontic purposes. They did not simply watch the videos; they treated the content as a dataset to be measured against strict clinical standards. The team began by searching for the most common terms people use to find these tutorials, identifying "face scanner app" and "3D face scanner" as the primary queries. They retrieved 143 videos, filtering out anything that was too short, too long, in a language other than English, or clearly a joke. This left them with 91 videos to analyze in depth.

To evaluate these videos, the researchers employed four different scoring systems. One measured the overall educational value, another assessed the clarity and accuracy of the information, a third checked the reliability of the sources, and a fourth, created specifically for this study, acted as a checklist for the technical steps required to get a good scan. This custom checklist asked specific questions: Did the video explain why the scan was being done? Did it specify which device or app to use? Did it describe how to hold the phone, where to stand, and what the lighting should look like? Did it warn about common errors like motion blur or mention the privacy risks of sharing biometric data?

The results revealed a stark disconnect between how a video looks and what it actually teaches. The vast majority of the videos were technically impressive. Nearly all of them received high marks for their audiovisual quality, with clear images, smooth editing, and professional sound. However, when the researchers looked at the actual content, the picture changed dramatically. While 93 percent of the videos were rated as high quality in terms of presentation, only 9 percent contained the complete, clinically necessary information required to perform a reliable scan. The most common videos, which were uploaded by commercial companies or everyday people, often skipped the most critical details. They might show how to hold the phone but fail to mention that the room needs to be brightly lit, or they might demonstrate the scanning process without ever explaining the limitations of the measurement or the fate of the patient's private data.

The study found that the only factor that reliably predicted a video's educational value was the identity of the person who made it. Every single video that received a top score for content completeness was created by a specialist, such as an orthodontist or dentist. Not a single video from a commercial company, a layperson, or an academic institution reached this highest category of quality. Furthermore, these high-quality videos were rare, making up less than one-tenth of the total pool, and they were among the least viewed. The videos that attracted the most attention—those with the highest number of views and likes—were almost exclusively the ones that lacked the necessary technical depth. The researchers found no link between a video's popularity and its accuracy; a high view count did not indicate that the information was correct, nor did a low view count suggest it was wrong.

The analysis also highlighted specific gaps in the information provided. While almost every video explained the purpose of the scan and which device to use, very few addressed the environmental conditions required for accuracy. Only about one-third of the videos mentioned the importance of lighting and background, and fewer than one-fifth discussed the accuracy or limitations of the measurements. Perhaps most concerning was the near-total absence of information regarding data privacy. Since these scans generate biometric data that can identify a person, the researchers noted that the lack of discussion on how this data is stored or protected was a significant oversight.

Ultimately, the study concludes that while YouTube is a technically well-produced platform for learning about facial scanning, it is currently an incomplete and potentially misleading source of clinical instruction. The content is polished but often hollow, teaching the viewer how to perform the action without conveying the necessary context to ensure the result is valid. For patients, staff, or clinicians seeking guidance, the most popular videos are likely to teach the procedure while omitting the critical warnings and technical nuances that determine success. The only reliable path to accurate information remains finding content created by specialists, though these videos are currently scarce and difficult to find amidst the sea of popular, lower-quality alternatives.