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First Impression:

What is a first impression and why does it matter?

A first impression is the psychological process when humans see a new face for the first time. Within 100 mili-seconds, we form subconscious opinions about others, such as attractive, trustworthy, competent, and many more. Studies have shown that first impressions are formed largely based on patterns within facial features. First impressions have an impact in our lives and can influence the way other people interact with us.  Once a first impression is made, it is difficult to reverse, and plays an important part in all social interactions. 


How is aemos able to quantify appearance?

aemos uses modern machine learning algorithms to correlate facial features, patterns and symmetries with appearance (first impression). aemos used tens of thousands of medically standardised images of faces, and over 1 million human opinions to gather a dataset which was capable of training an algorithm able to quantify first impressions independent of age, ethnicity, gender. 

How does the FaceReality technology determine the recommended changes?

The recommendation algorithm uses a dataset of changes achievable through minimally invasive treatments. This dataset was trained by experienced practitioners, who determined the maximum degree of changes to a facial area possible with minimally invasive treatments. The algorithm uses this data to determine the best set of changes to facial features that maximise a certain appearance. What makes this technology especially useful are the personalised recommendations, tailored to the unique requirements of each patient’s face.

Are there differences in the ratings between people from different ethnicities, genders, or ages? 

Psychological research has shown that there are patterns within facial features that trigger the same psychological reaction in viewers of any ethnicity, gender, or age. For example: a person with lower eyebrows is perceived as more dominant, no matter the viewer’s background. This effect has been confirmed within our datasets.

Are the recommended changes all medically possible?

Yes. aemos trained its algorithm using a dataset of possible changes through minimally invasive treatments. This dataset was collected through the knowledge of dozens of experienced practitioners. 


What are suitable patients to use FaceReality with?

FaceReality can be used with any patient. With other practitioners we have found that the following criteria of patients respond the best to the FaceReality simulations:

  • below the age of 60, due to their understanding for technology
  • worried about unnatural results
  • unsure about their treatment choice
  • open to full face treatments

How do I take the best picture of my patients?

For the best results, it is essential to take a high quality picture of the patient:

  • Straight, frontal, centred angle (not from below, above, or the sides)
  • Good, even lighting (no shadows in the face)
  • Remove eyewear, makeup and hair from the face
  • Neutral facial expression

How do I best use FaceReality with my patients?

FaceReality has been incorporated during their consultations to move the conversation towards holistic full face approaches including a more in depth analysis of the patient’s desired appearance. To use FaceReality most effectively, practitioners have identified these best practices:

  • Prior to using the application identify the patients’ desired treatments and their underlying motivation.  
  • Introduce the application as an artificial intelligence based tool, that can measure how the face of the patient is currently being perceived and can consequently visualise the changes in the face to reach a desired impression. 
  • Take a straight frontal photo of the patient with the iPad. Make sure the patient has a neutral facial expression. You can repeat this process until the photo is suitable and upload it to the App.
  • As a start the “spider web” showing how the patient’s face is being perceived can be shown if helpful. Based on this the patient gets an overview on possible improvement.
  • Close the “spider web” and let the patient choose amongst the offered traits. The App will automatically recommend treatments and simulate them onto the image. To visualise the changes you can use different tools: the slider, the blinking mode or finally the heatmap. To customise changes use the sliders for the different regions within the face. 
  • If needed, you can repeat the morphing using different traits until the patient chooses for a desired outcome.
  • Use the heatmap to discuss possible treatments to reach the desired result.
  • Based on this you can agree on a treatment plan with the patient. The treatment plan can be executed in a single session or be divided into several future treatments.

How do I interpret the Heatmap? 

The heatmap is a representation of the degree of changes recommended by the algorithm. Blue represents the least changes and red the most changes, relating to the degree of movement of the indicated area.  

How to implement the recommended changes?

All recommended changes can be achieved by applying modern standard techniques in aesthetic medicine like fillers, toxins, threads, biostimulators, etc. 

It’s the responsibility of the clinical practitioner to choose a treatment that serves the best to reach the recommended change. For example eyebrow position can be modulated by use of toxins, alterations in volume and proportions by using fillers. Various techniques are suitable for skin quality improvement in terms of wrinkles. 


What is the benefit of using FaceReality?

FaceReality provides value to practitioners through 3 different effects:

  • Through recommendations made by the app, practitioners are relieved from pushy sales conversation. 
  • FaceReality changes the dialogue between practitioners and patients, towards a more clear understanding of a patient’s true desired appearance. Providing a foundation for more effective communication about desired appearances, increasing a patient’s satisfaction with the results. 
  • Through its visualisations, FaceReality has shown to save doctors time during consultation. Giving patients a clearer understanding of their desired treatments in less time. 

How is FaceReality different from other simulation tools?

FaceReality is the leading product utilising machine learning technologies for aesthetic treatments. The technology incorporated within FaceReality is the only system to recognize appearance on an objective basis. This enables FaceReality to be the only program within the industry to provide treatment recommendations and automated simulations through artificial intelligence and based on a desired appearance. 

Additionally, FaceReality is iPad.based, and does not require any additional hardware, it is designed to be user friendly and intuitive from the beginning. 

How does FaceReality impact patients’ treatment selection and satisfaction?

Within the consultation, FaceReality serves to move the conversation towards a holistic view of the face. Additionally it changes the dialogue between practitioners and patients towards a desired appearance rather than a focus on a single treatment area. The visualisation of the possible effect of the treatment in a realistic way, helps the patient understand the outcome of the treatment – not only based on the single treated area but as an effect on the expression of the whole face. Through the use of FaceReality, doctors have shown to improve their conversion of treatments per patient.