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The Future of AI-Powered Skincare

Key Takeaways

  • Generative Skin will expand to include new skincare ingredients and features for user education on environmental damage and ingredient combinations.
  • The platform aims to enhance user awareness and allow virtual experimentation with skincare products.
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Anastasia Georgievskaya reflects on the success of SkinGPT and reveals upcoming plans and potential advancements in artificial intelligence and dermatology.

In the final part of this Dermatology Times interview, Anastasia Georgievskaya, CEO and co-founder of Haut.AI, shares the exciting future of Generative Skin, the AI-driven platform that simulates skincare ingredient effects using data-powered visualizations. Following the success of its initial release, which included 12 clinically supported ingredients, the platform is now poised for major expansion.

“After the launch, we got a lot of feedback. People were sending us emails, and also our collaborators and scientific partners were sending us a lot of great ideas,” Georgievskaya said.

She revealed that new ingredients will soon be added, especially those emerging in the beauty space that patients are curious about but often don’t fully understand. The platform is also evolving to educate users on environmental damage, such as UV exposure and pollution, and the long-term effects these external factors can have on skin health. Another new feature will be the simulation of ingredient combinations. This will aim to help patients recognize common or past mistakes in their own skincare routines and adjust accordingly, as certain ingredients and multiple actives may be causing more harm than good.

“So, we hope to bring more awareness, education, and essentially also introduce little fun moments so you can try all of the ingredients from the comfort of your home [without] buying a lot of the products,” Georgievskaya said.

Looking further ahead, Georgievskaya envisions a broader role for generative AI in dermatology. Similar to wearable health technology like Oura Ring or Apple Watch, she sees potential in using AI to collect and analyze massive amounts of skin-related data. This could lead to predictive insights into why skin behaves in a certain way, particularly as skin is influenced by stress, hormones, environment, and lifestyle.

Georgievskaya can also imagine a dermatology-specific version of ChatGPT that relies on real clinical practice and patient data, contributed by licensed dermatologists, estheticians, and surgeons. Patients could potentially ask their questions to this system in a safe, anonymized way that is rooted in validated medical expertise and knowledge. These innovative advancements in artificial intelligence may be able to support personalized, data-driven dermatological care, especially for chronic conditions like rosacea and acne.

“I'm really excited that technology emerges and helps us manage this, helps us explain what's going on, gives us some factual data,” she concluded. “I’m excited for what's coming in AI next from Haut.AI and other beauty tech companies.”

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