Onychomycosis accounts for up to 50% of all nail disorders and can significantly impact patients’ quality of life. Traditional diagnostic methods, including clinical examination and laboratory culture, are often time-consuming, subjective, and reliant on in-person visits. Treatments, such as oral antifungals or topical medications, require careful monitoring for efficacy and side effects, underscoring the need for innovative approaches in disease management.

Our recently published study establishes Scarletred®Vision as a cutting-edge solution in this landscape. The research leverages advanced machine learning algorithms to precisely classify infected and healthy areas of toenails, setting a new benchmark in automated disease detection. Using calibrated clinical images captured via the Scarletred®Vision mobile app, we demonstrated how AI can improve diagnostic accuracy while supporting remote patient monitoring.

The potential of Scarletred®Vision extends beyond diagnostics, enabling real-time tracking of disease progression and treatment outcomes. This innovation not only enhances patient care but also reduces the burden on healthcare providers by allowing scalable, remote assessments of onychomycosis and similar conditions.

Explore the full publication in our research section to learn more about how Scarletred®Vision is transforming dermatological care and paving the way for the future of AI-powered remote monitoring.

Read the publication here

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