AI in Dermatology & Cosmetology

AI in Dermatology & Cosmetology plays a pivotal role in revolutionizing how skin conditions are diagnosed, monitored, and treated. Deep learning tools are now capable of differentiating between benign and malignant lesions with accuracy rivaling dermatologists, while real-time skin analysis supports faster intervention. In cosmetology, AI enhances treatment personalization by evaluating skin type, tone, and texture to recommend tailored regimens and procedures. With AI’s ability to process thousands of dermatoscopic images and patient histories, it significantly reduces diagnostic errors and streamlines clinical workflows. AI in Dermatology & Cosmetology also supports the development of advanced cosmetic products by predicting individual skin responses to ingredients, thus improving safety and efficacy. As these technologies continue to evolve, they are reshaping both clinical and cosmetic landscapes, leading to more accessible and precise care.

Committee Members
Speaker at Dermatology and Cosmetology 2027 - Sergei A Grando

Sergei A Grando

University of California Irvine, United States
Speaker at Dermatology and Cosmetology 2027 - Nalini Kaul

Nalini Kaul

Princeton Consumer Research, Canada
Speaker at Dermatology and Cosmetology 2027 - Georgios N Stamatas

Georgios N Stamatas

SGS, France
Speaker at Dermatology and Cosmetology 2027 - George Sulamanidze

George Sulamanidze

The Clinic of Plastic Surgery and Aesthetic Dermatology, Totalcharm, Georgia
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