From GPT to Claude to Gemini, model names change fast, but use cases matter more. Here's how I choose the best model for the task at hand.

Abstract: Quantitative evaluation of skin wounds is important in tracking the healing process and planning the treatment. For non-invasive and automatic analysis of the wound, segmentation of the ...

Abstract: Atopic dermatitis is the most common inflammatory skin disease worldwide but empirical work on monitoring the condition using digital technologies is lacking. This work presents a skin model ...

Researchers at the University of California San Diego School of Medicine have developed a new approach for identifying individuals with skin cancer that combines genetic ancestry, lifestyle and social ...

The model achieved 89% accuracy in identifying individuals with skin cancer across all populations, with 90% accuracy for individuals of European ancestry and 81% accuracy for people of non-European ...

While skin cancer is less common in people with dark skin, it is often diagnosed at more advanced stages, resulting in worse outcomes. Researchers at UC San Diego Moores Cancer Center leveraged data ...

Clecell, a South Korean–based biotechnology company focused on artificial skin fabrication, has developed a full-thickness 3D bioprinted skin model using human induced pluripotent stem cells (iPSCs).