Haut.AI, an artificial intelligence (AI) company for skin care and beauty applications, has published a new scientific review, focusing on combining fluorescence photography with AI algorithms for non-invasive skin diagnostics that can spot problems before they become visible.
Fluorescence photography is an advanced technique that captures the natural glow emitted by molecules like collagen and porphyrins when the skin is exposed to ultraviolet (UV) light.
The study, “State-of-the-Art in Skin Fluorescent Photography for Cosmetic and Skincare Research: From Molecular Spectra to AI Image Analysis”, published in the journal Life (IF 3.2), highlights how this approach can uncover skin issues such as acne, photoaging and hyperpigmentation—frequently before they become visibly noticeable. This would allow skin care experts to diagnose underlying issues earlier, track treatment progress more effectively and offer deeper insights into skin aging, Haut.AI claims.
AI algorithms can analyze the vast data captured by fluorescence images to identify patterns and subtle changes that may be impossible to detect manually. This means that AI can more accurately pinpoint early indicators of skin conditions. AI also has the ability to monitor skin changes over time, providing insights into how skin conditions change and how treatments are responding to various conditions.
When it comes to combining AI with fluorescence photography, Haut.AI’s research underscores the importance of using diverse datasets to ensure accuracy across different skin tones and types. Since the level of fluorescence emitted by the skin’s molecules can vary significantly depending on melanin levels and other characteristics, training AI on diverse datasets is essential. This helps reduce biases that could lead to unequal diagnostic outcomes, ensuring that AI-driven skin care solutions are fair, effective and inclusive for all, regardless of their unique skin profile.
Anastasia Georgievskaya, CEO and co-founder of Haut.AI, says, “Fluorescence photography allows us to see what the human eye often cannot, and when combined with AI, we’re unlocking entirely new levels of skin diagnostics. We’re looking at a future where skin analysis is multimodal and utilizes different aging models and biomarkers, such as using fluorescence spectroscopy, to make skin analysis more precise and predictive.”
