AI in Aesthetics: Enhancing Personalization, Precision and Patient Comfort With Practitioner Expertise

AI has become a powerful tool for predictions and analytics in many areas of medicine, including aesthetics–mapping procedure outcomes and providing tailored care–making cosmetic surgeries more promising and patients more comfortable with committing to minimally invasive and invasive procedures. It has also become a tool in providing educational materials and answering patient questions based on physician insights.

Generative AI platform Trinity Aesthetics uses to tailor its bespoke services.Courtesy of Trinity AestheticsThe Rising Demand for Personalized Aesthetic Treatments: How AI Enhances Practitioner Expertise and Tailors Patient Care

Patients have shown demand for bespoke services that align with their self-perceptions and personal goals, says Joseph Panetta, CEO of Trinity Aesthetics, LLC. This allows practitioners to lean into tailored results at the hand of their individual artistry and expertise.

“Consumers seek bespoke services – tailored to them and their specific needs versus ‘off-the-shelf’ or ‘out of the box’ solutions meant to fit masses,” Panetta says. “It stems from a desire to feel special.”

A McKinsey report [1] found that approximately 20% of consumers in the United Kingdom and the United States and 30% in China look for personalized products and services that use biometric data to provide recommendations. 

Trinity Aesthetics features a generative AI platform to learn about a patient and customize treatment plans by scanning the face, a patient’s interactions and language, questions, concerns and more, Panetta says.

“We keep the cosmetic derm or plastic surgeon in the middle and arm them with all patient data—we’re adding to their delivery, not taking anything away,” Panetta says. 

Arleen Lamba, founder of GLO30, uses GLOria, an AI-powered algorithm, to analyze the skin for personalized product and treatment recommendations from Glo30 practitioners. 

“GLOria’s AI technology assesses skin health through a combination of real-time imaging, historical treatment data and our proprietary algorithms…[to analyze] skin tone, texture and tightness,” Lamba says. “The algorithm identifies patterns in pigmentation, hydration levels and elasticity, allowing it to recommend the most effective treatments based on the guest’s evolving skincare needs.”GLOria’s AI technology assesses skin health through a combination of real-time imaging, historical treatment data and our proprietary algorithms.Courtesy of GLO30

The algorithm customizes treatments by analyzing thousands of data points across a patient’s skin, including hydration, collagen density, pore refinement and fine lines. These insights then become precise treatment recommendations. 

“While AI enhances precision, human expertise remains essential,” Lamba says. “Factors like lifestyle habits, stress and internal health influences may not be fully captured by AI alone, which is why GLO30 pairs cutting-edge technology with expert estheticians and providers.”

As individual practitioner expertise and artistry play a key role in supporting AI accuracy, GLOria subjective assessments tailors recommendations to a patient’s skin needs for faster, more predictable outcomes, improved treatment consistency, and a data-driven roadmap to achieving long-term skin goals, Lamba says. 

“AI doesn’t replace human expertise—it enhances it, allowing GLO30 providers to focus on delivering personalized care with greater accuracy and efficiency,” she adds. 

Enhancing Cosmetic Procedure Research with AI: How Persana's Chatbot Personalizes Patient Interactions and Improves Precision

Jamieson Yee is the COO of Persana, a resource for connecting patients to an aesthetic physician who specializes in their desired procedure. 

Persana uses an AI chatbot to enhance the process of researching cosmetic procedures, Yee says. Persana can train the AI chatbot on comprehensive procedure education pages authored by Persana physicians to deliver personalized responses to individual questions. The chatbot can compare and contrast various procedures simultaneously, he adds. 

“We also use advanced Natural Language Processing (NLP) to ensure that the AI understands the context of a question, ensuring that the responses are relevant and precise,” Yee says. “While the AI provides responses at scale, internally, we always review and refine the AI’s training data and outputs to maintain accuracy and reliability.”Persana uses an AI chatbot to enhance the process of researching cosmetic procedures by training the AI Chatbot on comprehensive procedure education pages authored by Persana physicians.Courtesy of Persana

The Future of AI in Medicine and Aesthetics: Enhancing Diagnostics and Treatment Planning While Upholding the Art of Human Expertise

Yee says he’s confident that AI-assisted diagnostic tools will improve medicine, recognizing skin lesions that may be cancerous to interpreting radiographs, CTs and MRIs. In the nonsurgical aesthetics realm, AI can consider the patient’s aesthetic goals, identify their current skin conditions and suggest certain treatments. 

However, he says, a trained practitioner will be needed to evaluate AI-assisted analysis and offer their own recommendations based on their real-world expertise.

“The art of plastic surgery comes from not just the technical ability but the predictive wisdom of the surgeon to deliver natural and long-lasting results,” Yee says. “Though improved AI-assisted simulation models may allow surgeons to better tailor their surgical planning, at least for now, it will not replace the artistic execution and decision-making that often take place in real-time during surgery.”