Women and men think they can look younger than their age by injecting Botox or skin fillers like hyaluronic acid – but they’re wrong. A new study by skin experts in Tallinn, Estonia shows that human chronological age can be assessed with artificial intelligence (AI) examination of the dorsal part of the hand. They have just published their findings in Experimental Dermatology journal titled “Predicting human chronological age via AI analysis of dorsal hand versus facial images: A study in a cohort of Indian females.”
Haut.AI, a leader in responsible skincare artificial intelligence (AI) development, announced their “breakthrough research paper” demonstrating the effectiveness of using hand images for accurate age prediction. This innovative approach offers a viable alternative to traditional facial photo methods and promotes fairer AI solutions.
Using AI models for accuracy
They used AI models trained on hand images to achieve comparable accuracy to those using facial images, with an average error of 4.1 and 4.7 years in predicting chronological age. This research is particularly significant for ethnic skin, as it was trained using the Indian population dataset and represents the first AI model for age prediction specifically designed with a diverse dataset that includes a wide range of skin tones.
The study goes beyond just the accuracy of age prediction. By analyzing how specific features on hands and faces influence the model’s predictions, the research contributes to a better understanding of the aging process.
