Objectives: The rise in aesthetic procedures has increased the demand for accurate outcome predictions. This study evaluates a novel AI-based simulation for predicting results from facial injections with hyaluronic acid fillers. Using a retrospective review, researchers compared baseline, post-treatment, and simulation-generated photos. They found that the simulation's predictions were highly similar to actual results (ⲕ > 0.68) in most facial areas, except the midface (ⲕ = 0.51), with a strong overall correlation (r = 0.83).
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?
Yes
Please specify entities (individual, company, society): I am one of the founders of the company
Do you own or have you applied for any patents in conjunction with the instruments, medications or materials discussed in your study?
Yes
Please specify date...: active
and status : Dont remember
This work was not supported by any direct or non direct funding. It is under the author's own responsability