#Product Trends
Can AI improve cryolipolysis outcomes ?
Personalized body contouring: the role of AI in treatment optimization
As artificial intelligence expands across healthcare and aesthetic medicine, manufacturers are increasingly integrating AI-assisted tools into treatment devices. In body contouring, these technologies aim to improve treatment consistency and optimize outcomes by adapting protocols to individual patient characteristics.
Why treatment personalization matters
One of the key challenges in cryolipolysis is the variability between patients. Fat thickness, tissue composition and treatment areas can differ significantly, making parameter selection an important factor in treatment effectiveness.
AI as a decision-support tool
Rather than replacing practitioners, AI systems are increasingly being used to support treatment planning. By analyzing patient-specific data, these tools can help identify the most suitable treatment parameters and reduce variability between sessions.
Example : AI-assisted cryolipolysis
French manufacturer AAMS (Anti-Aging Medical Systems) has integrated an AI-based feature called User Assist® into its cryolipolysis platform. According to the company, the technology evaluates fat volume, density and tissue characteristics before automatically adjusting treatment parameters. The objective is to help practitioners achieve more predictable results while simplifying protocol selection.
Toward outcome optimization
As the aesthetic medicine sector moves toward increasingly personalized treatments, AI-assisted systems may become an important differentiator. Beyond automation, the real value lies in optimizing treatment outcomes by adapting procedures to each patient rather than relying exclusively on standardized protocols.
