Objectives: I introduced a novel protocol based on an AI-assisted analytic system for facial expressions, Customized Precision Facial Assessment (CPFA), to evaluate and quantify the micro-expressions of aesthetic concern. With the help of other digital tools, physicians may be able to conduct static and dynamic assessments for the micro-expressions of the patients and perform quantitative measurements before and after the treatments. Our face is our identity, if we want people to remember you , you need to have your own identity.
Introduction: I will introduce my thoughts on the uses of Ai technology in everyday aesthetic practice.
First, a question. Do you know what your facial features or the facial features of your patients are really saying? I hope that my applications in emotional Ai systems with other digital tools can provide an answer to this question.
Materials / method: Customized Precison Facial Assessment, a Expression-based facial assement combined with other digital tools.
Three major parts. 1. Emotional expression 2.Facial contours assessment 3. Skin Quality
Results: Customized Precision Facial Assessment (CPFA), the novel protocol based on FaceReader, is the first aesthetic application of the well-established system in psychiatry. Through the detection of micro-expressions and its active action units of facial muscles, physicians are more likely to optimize the treatment with minimal intervention by precise localization of the foci of aesthetic concern. Integration of AI technology in my aesthetic practice, this what we do at CPFA to help preserve one’s personal identity. Don’t forget who we are.
Conclusion: So far, Artificial Intelligence has only been my consultant. It’s like a general going to war, he has some different military advisers. They give me many suggestions, but I only think of it as a second opinion.
Ai is a valuable tool to help one make the right decisions, but as a doctor, one should also base this on their own clinical experiences.
Disclosures
Did you receive any funding to support your research for this TOPIC?
No
Were you provided with any honoraria, payment or other compensation for your work on this study?
No
Do you have any financial relationship with any entity which may closely compete with the medications, materials or instruments covered by your study?
No
Do you own or have you applied for any patents in conjunction with the instruments, medications or materials discussed in your study?
No
This work was not supported by any direct or non direct funding. It is under the author's own responsability